JP5544223B2 - Imaging device - Google Patents

Description

  The present invention relates to an imaging apparatus that is connected to another imaging device or another image signal processing device and performs imaging control or signal processing control in cooperation with each other.

  As a background field of the present technology, for example, there is JP-A-2006-197140 (Patent Document 1). The gazette aims at “providing an imaging device and an information providing system capable of acquiring an image signal with good color reproduction accuracy by preventing deterioration of image quality” In the digital camera 1 that is instructed to acquire, the control unit 10 specifies the current location based on the radio wave received by the GPS receiver 15, and acquires weather information corresponding to the specified current location and current time from the server device 3. The control unit 10 determines the final weather by comparing the weather selected based on the image signals sequentially acquired after power-on and the weather indicated by the weather information acquired from the server device 3, and corresponds to the determined weather The parameters in the AE control process and the white balance process to be performed are determined, and the control unit 10 performs the AE control based on the determined parameters, That performs imaging processing for the acquired image signals, a technique called white balance processing performs "based on the determined parameter is disclosed.

JP 2006-197140 A

  Digital cameras that perform digital signal processing on captured video data such as still images and moving images and output or record video are widely used in various applications such as consumer, surveillance, and in-vehicle use. These digital cameras analyze luminance information and color information in video data and feed back various detection information obtained by estimating the brightness and color temperature of the shooting scene to imaging control and signal processing. High image quality is achieved through signal processing adapted to the scene. For example, an AE (automatic exposure) function that realizes optimum exposure control by estimating the brightness of the ambient light of the shooting scene, and an optimal white balance by estimating the color temperature of the ambient light of the shooting scene. An AWB (automatic white balance) function or the like is common. However, since not only the ambient light but also the subject is reflected in the video data, it is difficult to estimate the brightness and color temperature by extracting only the ambient light component from the video data. Therefore, if there is a light source such as a spotlight in a dark shooting scene, or if there is a subject with a large color temperature that is extremely different from the ambient light, the AE or AWB may not perform the operation desired by the user. Deterioration and image quality degradation occur.

  In Patent Document 1, the camera position is acquired from a GPS receiver, connected to a server via a network, weather information in the vicinity of the camera installation position is acquired from the camera position and time, and the weather predicted from the video data A method of realizing white balance processing that performs color reproduction with high accuracy by using a combination of information and weather information acquired from a server is disclosed. However, in the method disclosed in Patent Document 1, the weather information acquired from the server is not necessarily highly accurate. For example, when the camera is indoors, or when the weather is locally in a very narrow range, There is a possibility that incorrect weather information may be given in different cases. In addition, when real-time information is required to shoot a movie, it is necessary to update the weather information on the server in real time, which increases the labor of acquiring reliable weather information and storing it in the server. There is also.

  On the other hand, in recent years, IP of surveillance systems has progressed, and when multiple cameras are installed in the surveillance area to prevent blind spots, the cameras and PCs or cameras are connected via Ethernet (registered trademark). By building a network, communication between cameras has become easier.

  Therefore, in the present invention, various types of detection information obtained by processing signals captured by other cameras with other cameras, PCs, dedicated image processing devices, and the like are acquired via a network and fed back to their own cameras. Thus, it is used for imaging control and signal processing control. Thus, for example, when a subject that causes AE or AWB to cause a false detection is reflected in the user's own camera, the detection information of other nearby cameras that do not enter the angle of view is used. AE and AWB adapted to the shooting scene can be performed. In recent years, image recognition technology for detecting or identifying a specific subject such as a face or a moving object by image processing has become widespread. It is also possible to feed back to control and control of signal processing. As described above, according to the present invention, it is possible to perform imaging control and signal processing control adapted to the shooting scene in cooperation with other cameras, and it is possible to improve visibility, improve image quality, and enhance functionality. .

  The above object can be achieved by, for example, the invention described in the claims.

  According to the present invention, high-quality video acquisition and high functionality adapted to the shooting scene can be realized by performing imaging control and signal processing control in cooperation with detection results of video information captured by other cameras. it can.

1 is a schematic diagram showing an image pickup apparatus according to a first embodiment of the present invention. The figure which shows an example of the imaging control sequence using the other imaging signal detection information which concerns on 1st Example of this invention. FIG. 1 is a first diagram illustrating an example of an imaging control method using other imaging signal detection information according to a first embodiment of the present invention. FIG. 2 is a second diagram showing an example of an imaging control method using other imaging signal detection information according to the first embodiment of the present invention. FIG. 3 is a third diagram showing an example of an imaging control method using other imaging signal detection information according to the first embodiment of the present invention. FIG. 4 shows an example of an imaging control method using other imaging signal detection information according to the first embodiment of the present invention. FIG. 5 is a fifth diagram illustrating an example of an imaging control method using other imaging signal detection information according to the first embodiment of the present invention. FIG. 6 shows an example of an imaging control method using other imaging signal detection information according to the first embodiment of the present invention. 7 shows an example of an imaging control method using other imaging signal detection information according to the first embodiment of the present invention. FIG. The 8th figure which shows an example of the imaging control method using the other imaging signal detection information based on 1st Example of this invention. FIG. 9 is a ninth diagram showing an example of an imaging control method using other imaging signal detection information according to the first embodiment of the present invention. First schematic diagram showing an imaging apparatus according to a second embodiment of the present invention. FIG. 1 is a first diagram illustrating an example of a video compression control method using other imaging signal detection information according to a second embodiment of the present invention; Second schematic diagram showing an imaging apparatus according to a second embodiment of the present invention. FIG. 2 is a second diagram showing an example of a recording control method using other imaging signal detection information according to the second embodiment of the present invention. Schematic diagram illustrating an image pickup apparatus according to a third embodiment of the present invention. The figure which shows an example of the imaging control method using the other multiple imaging signal detection information which concerns on 3rd Example of this invention. The figure which shows an example of the weight estimation sequence of the imaging control and detection information which concern on 3rd Example of this invention.

  Embodiments of the present invention will be described below with reference to the drawings.

  FIG. 1 is a schematic diagram showing an image pickup apparatus according to the first embodiment of the present invention. In FIG. 1, reference numeral 0101 denotes an imaging unit, 0102 denotes a signal processing unit, 0103 denotes another imaging signal detection information acquisition unit, and 0104 denotes an imaging control unit.

  In the imaging apparatus shown in FIG. 1, the imaging unit 0101 includes a lens group including a zoom lens or a focus lens, an iris, a shutter, a near-infrared cut filter, an imaging element such as a CCD or CMOS, a signal amplifier, an AD converter, and the like. Based on control information such as iris iris amount and exposure time output by the imaging controller 0104, the light incident on the imaging device is photoelectrically converted and output as an imaging signal. Based on the control information output from the imaging control unit 0104, the signal processing unit 0102 performs luminance / color signal generation processing, gain processing, noise removal processing, luminance / color correction processing such as gamma, contrast correction processing, Performs correction processing for imaging signals such as white balance processing, dynamic range expansion processing, raindrop removal processing, snow removal processing, and video signal generation processing, and the corrected signal is used as a video signal for a monitor, image processing device, or recording (not shown). Output to the device. Also, in the process of signal processing, the analysis information necessary to perform imaging control and signal processing control such as the integral value and histogram of luminance signal and color signal in the area is calculated, and brightness and color at the time of shooting are calculated. The temperature, the foginess, the rainy weather, the snowfall, the flicker situation, and the like are estimated and output to the imaging control unit 0104 as detection information. Further, image recognition by signal processing is performed on the imaging signal during or after correction to detect or identify a specific subject such as a face or a moving object, and the recognition result is output to the imaging control unit 0104 as detection information. You may do it. The other imaging signal detection information acquisition unit 0103 is obtained by connecting to another imaging signal processing device via Ethernet, serial, or the like, and performing signal processing on the imaging signal captured by the other imaging device in the other imaging signal processing device. The detected detection information is acquired and output to the imaging control unit 0104. Here, the other imaging signal processing device refers to another imaging device itself, a PC or a dedicated image processing device capable of performing signal processing on an imaging signal output from the other imaging device. The imaging control unit 0104 uses detection information output from the signal processing unit 0102, detection information output from the other imaging signal detection information acquisition unit 0103, or user input information input from a user input unit (not shown), By determining the imaging conditions of the imaging unit 0101 and the control parameters for signal processing performed by the signal processing unit 0102 and outputting them to the imaging unit 0101 and the signal processing unit 0102, respectively, exposure control, image quality control, and dynamic range expansion are performed. Control, near-infrared cut filter attachment / detachment control, white balance control, fog image correction processing control, contrast enlargement control, raindrop removal control, snow removal processing control, flicker cancellation control, and signal processing Perform frame rate control, resolution control for signal processing, subject detection processing control, subject recognition processing control, etc. . As a result, it is possible to perform imaging control and signal processing control in cooperation with detection results of video information captured by another camera. The signal processing of the signal processing unit 0102, the connection processing of the other imaging signal detection information acquisition unit 0103 to the other imaging signal processing device and the acquisition processing of the detection information, and the imaging control and signal processing control processing of the imaging control unit 0104 Usually, it is performed by a microcomputer in the camera, a camera signal processing DSP, a dedicated ASIC, an FPGA, or the like. In addition, a part or all of the signal processing unit 0102, the other imaging signal detection information acquisition unit 0103, and the imaging control unit 0104 may be performed by a PC, a dedicated image processing apparatus, or the like.

  FIG. 2 is a diagram illustrating an example of an imaging control sequence using other imaging signal detection information according to the first embodiment of the present invention. In the present invention, the imaging control using the other imaging signal detection information is performed by the other imaging signal detection information acquisition unit 0103 and the imaging control unit 0104. In the imaging control sequence using the other imaging signal detection information of FIG. 2, in ST0201, the other imaging signal detection information acquisition unit 0103 is obtained from the imaging signal captured by the other imaging device with respect to the connected other imaging signal processing device. Request acquisition of detected information. In ST0202, the other imaging signal detection information acquisition unit 0103 determines whether there is detection information that can be acquired from the other imaging signal processing device. If the detection information is returned from the other imaging signal processing device, the process proceeds to ST0203. When the detection information is not included in the information returned from the signal processing device, or when the response is not returned for a certain time and the communication times out, it is determined that there is no detection information that can be acquired, and the process proceeds to ST0206. . In ST0203, the imaging control unit 0104 selects which of the detection information of the own camera output from the signal processing unit 0102 and the detection information of the other camera output from the other imaging signal detection information acquisition unit 0103 is used. In this case, selection information on which to select is recorded in a recording device such as an EEPROM, and the information is acquired and selected at the time of control. Alternatively, the user may select which detection information to use from a user input unit (not shown) such as serial communication or button operation attached to the camera, and use the selection information thereafter. As a result, when using the detection information of the other camera, the process goes to ST0204, when using the weighted average result of the detection information of the other camera and the detection information of the own camera, to ST0205, and when using the detection information of the own camera, ST0206. Go to each. In ST0204, the imaging control unit 0104 selects other camera detection information acquired from the other imaging signal detection information acquisition unit 0103 as detection information used for imaging control. In ST 0205, the imaging control unit 0104 uses the weighted average result of the detection information of the other camera acquired from the other imaging signal detection information acquisition unit 0103 and the detection information of the own camera output from the signal processing unit 0102 as detection information used for imaging control. Then, a weighted average of the detection information of the other camera and the detection information of the own camera is calculated according to a predetermined weighting factor determined in advance. At this time, the weighting factor may be recorded in a recording device such as an EEPROM, and the information may be acquired and selected at the time of control, or a user input (not shown) such as serial communication or button operation attached to the camera may be performed by the user. A weighting factor may be input from the unit, and the weighting factor may be used thereafter. In ST0206, the imaging control unit 0104 selects detection information of the own camera output from the signal processing unit 0102 as detection information used for imaging control. In ST0207, the imaging control unit 0104 calculates the imaging conditions of the imaging unit 0101 and the parameters of the signal processing of the signal processing unit 0102 based on the detection information selected in ST0204 to ST0206. The data is output to the processing unit 0102. Examples of the imaging conditions of the imaging unit 0101, the parameters of the signal processing of the signal processing unit 0102, and the calculation method will be described later with reference to FIGS. Accordingly, it is possible to perform appropriate imaging control and signal processing control by switching between the detection information of the own camera and the detection information of the other camera as necessary. For example, if your camera and other cameras are installed in the area where you want to shoot, if your camera is installed so that detection information such as brightness and color temperature of the shooting scene can be obtained more stably, Controls imaging using information, and if other cameras are installed so that detection information such as brightness and color temperature of the shooting scene can be obtained more stably, perform imaging control using detection information from other cameras Thus, it is possible to perform imaging control more adapted to the shooting scene. In addition, when detection information that is sufficiently stable cannot be obtained with only one camera, the detection information of only one camera can be obtained by using a weighted average of the detection information of the own camera and the detection information of the other camera. As compared with the case of using, imaging control adapted to the shooting scene is possible. Note that the imaging control sequence using the other imaging signal detection information shown in FIG. 2 is linked with other imaging devices that are real-time and highly responsive by performing each cycle for the period in which the imaging unit 0101 outputs the imaging signal. It is possible to perform the imaging control. For example, when an imaging device capable of imaging and signal output at 60 fps is used, imaging control may be performed 60 times per second. Further, it may be performed at a fixed interval or user timing. In this case, the processing load can be reduced.

  FIG. 3 is a first diagram illustrating an example of an imaging control method using other imaging signal detection information according to the first embodiment of the present invention. In the present invention, the imaging control using the other imaging signal detection information is performed by the other imaging signal detection information acquisition unit 0103 and the imaging control unit 0104. FIG. 3 is an example when imaging control using other imaging signal detection information according to the first embodiment of the present invention is applied to exposure control. FIG. 3A is an overhead view showing an example of the camera installation situation when two cameras are installed in a dark room. The first camera has a bright outdoor angle of view through a window. The second camera is shown so that only the dark room is placed in the angle of view. FIG. 3B is a diagram showing exposure control target values when the detection information of each camera is used. The horizontal axis represents the estimated brightness of the shooting scene as detection information, and the vertical axis represents exposure control. The target value is taken. The estimated brightness value of the photographic scene is calculated from, for example, the integrated luminance value of a predetermined area of the imaging signal. A straight line indicated by a dotted line in the figure is an example of an appropriate exposure control target value for the detected brightness estimation value of the shooting scene, and an image of appropriate exposure by increasing the exposure target as the shooting scene is darker. Is obtained. The estimated brightness of the shooting scene calculated by the first camera is installed indoors as with the second camera, but takes a large value during the day because the outdoor is within the angle of view. The target value will be lower. On the other hand, when the estimated brightness value of the shooting scene of the second camera is used, the target value for exposure control is high. When the first camera is used as the reference camera, the other camera signal detection information acquisition unit 0103 of the first camera acquires the estimated brightness of the shooting scene detected by the second camera, and controls the imaging of the first camera. The unit 0104 includes a brightness estimation value of the shooting scene of the first camera, a brightness estimation value of the shooting scene of the second camera, a brightness estimation value of the shooting scene of the first camera, and a shooting scene of the second camera. The weighted average value of the estimated brightness values is selected and fed back to the exposure control of the first camera. Here, the exposure control includes the iris diaphragm amount and shutter of the imaging unit 0101, the amplification amount of the signal amplifier, the gain amount of the signal processing unit 0102, and the noise removal strength and contrast correction strength associated therewith. It shall refer to image quality control. FIG. 3C is an example of an image obtained when the estimated brightness of the shooting scene of the first camera is fed back to the exposure control of the first camera, and FIG. FIG. 3E is an example of an image obtained when the estimated brightness value of the shooting scene of the camera is fed back to the exposure control of the first camera. FIG. 3E shows the estimated brightness value of the shooting scene of the first camera. It is an example of the image | video obtained when the average value of the estimated value of a 2nd camera is fed back to the exposure control of a 1st camera. In FIG. 3C, since the estimated brightness value of the shooting scene is higher than the actual brightness, the exposure control cannot be performed until the image is sufficiently bright. However, in FIG. By using the estimated brightness value of the shooting scene of the second camera close to the brightness, exposure control appropriate for the shooting scene can be performed. Further, in FIG. 3E, the dark area in the room is not sufficiently bright compared to the case where only the brightness estimation value of the shooting scene of the second camera is used, but on the other hand, the exposure is too high and the outdoor It is possible to prevent the bright area of the image from being excessively saturated. As described above, by using the detection information of another camera that can stably estimate the brightness of the shooting scene, it is possible to perform exposure control more adapted to the shooting scene.

  FIG. 4 is a second diagram illustrating an example of an imaging control method using other imaging signal detection information according to the first embodiment of the present invention. In the present invention, the imaging control using the other imaging signal detection information is performed by the other imaging signal detection information acquisition unit 0103 and the imaging control unit 0104. FIG. 4 is an example in a case where imaging control using other imaging signal detection information according to the first embodiment of the present invention is applied to dynamic range expansion control. FIG. 4A shows an image and brightness obtained when the estimated brightness of the shooting scene of the first camera is fed back to the exposure control of the first camera in the camera arrangement shown in FIG. FIG. 4B is an example of a histogram, and FIG. 4B shows the case where the estimated brightness of the shooting scene of the second camera is fed back to the exposure control of the first camera in the camera arrangement shown in FIG. FIG. 4C shows an example of the image obtained when the estimated brightness of the shooting scene of the first camera is fed back to the exposure control of the first camera, and the second image. In the signal processing unit 0102, images obtained when the estimated brightness value of the shooting scene of the camera is fed back to the exposure control of the first camera are respectively generated and synthesized. It is an example of a luminance histogram. In FIG. 4A, since the exposure is adjusted to a shooting scene including outdoor brightness, it is possible to obtain an image in which the indoor brightness is not sufficient but the outdoor is not saturated. Further, in FIG. 4B, since the exposure is adjusted to a shooting scene including only the brightness of the room, the room is sufficiently bright but the outdoors is saturated. In FIG. 4 (c), both an indoor and an outdoor view are obtained by compositing an image in which exposure is adjusted to a shooting scene including outdoor brightness and an image in which exposure is adjusted to a shooting scene including only indoor brightness. It is possible to obtain an image with a wide dynamic range with improved performance. In this way, it is possible to perform contrast expansion control adapted to the shooting scene by combining the detection information of other cameras that can stably perform the brightness estimation of the shooting scene and the detection information of the own camera. It becomes.

  FIG. 5 is a third diagram illustrating an example of an imaging control method using other imaging signal detection information according to the first embodiment of the present invention. In the present invention, the imaging control using the other imaging signal detection information is performed by the other imaging signal detection information acquisition unit 0103 and the imaging control unit 0104. FIG. 5 is an example in a case where imaging control using other imaging signal detection information according to the first embodiment of the present invention is applied to near-infrared cut filter attachment / detachment control. FIG. 5A is a diagram showing near-infrared cut filter attachment / detachment control when the detection information of each camera is used in the camera arrangement shown in FIG. The brightness estimated value of the photographic scene is taken, and the value of the near-infrared cut filter attaching / detaching state is taken on the vertical axis. When the shooting scene is bright, the imaging control unit 0104 attaches a near-infrared cut filter in front of the imaging device of the imaging unit 0101 to prevent the influence of light having a wavelength in the near-infrared region from being applied to the imaging signal. To do. On the other hand, when photographing under low illumination, sensitivity can be improved by removing the near-infrared cut filter from the image sensor. In the example of FIG. 5A, the imaging control unit 0104 wears a near-infrared cut filter and calculates with the second camera when the estimated brightness of the shooting scene calculated with the first camera is used. When the estimated brightness value of the photographed scene is used, control is performed to remove the near-infrared cut filter. FIG. 5B is an example of an image obtained when the estimated brightness of the shooting scene of the first camera is fed back to the near-infrared cut filter attachment / detachment control of the first camera, and FIG. These are examples of images obtained when the estimated brightness of the shooting scene of the second camera is fed back to the near-infrared cut filter attachment / detachment control of the first camera. In FIG. 5B, since the estimated brightness value of the shooting scene is higher than the actual brightness, it is not possible to obtain an image with a very high sensitivity by attaching the near-infrared cut filter. On the other hand, in FIG. 5C, by using the estimated brightness of the shooting scene of the second camera close to the actual brightness, the near-infrared cut filter is removed in accordance with the dark room to obtain a highly sensitive image. It becomes possible. In this way, by using detection information of another camera that can stably estimate the brightness of the shooting scene, it is possible to perform near-infrared cut filter attachment / detachment control more suitable for the shooting scene.

  FIG. 6 is a fourth diagram illustrating an example of an imaging control method using other imaging signal detection information according to the first embodiment of the present invention. In the present invention, the imaging control using the other imaging signal detection information is performed by the other imaging signal detection information acquisition unit 0103 and the imaging control unit 0104. FIG. 6 is an example in a case where imaging control using other imaging signal detection information according to the first embodiment of the present invention is applied to white balance control. FIG. 6A shows an example of a camera installation situation when two cameras are installed in a room having a white light source with a color temperature of about 5000K, and the first camera passes through a window. It shows that a clear blue sky with a high color temperature is installed in an angle of view, and the second camera is installed so that only the room is in an angle of view. FIG. 6B is a diagram showing the relationship between the estimated color temperature value as detection information of each camera and the actual color temperature, and the horizontal axis indicates the color head. The color temperature of the shooting scene is calculated from, for example, an integrated value of color data in a predetermined area of the imaging signal. Since the estimated color temperature value of the first camera is calculated from the color data of both the subject under the indoor light source and the subject under the outdoor light source, a value between the color temperature of the indoor light source and the color temperature of the outdoor light source is estimated. The On the other hand, since the estimated color temperature value of the second camera is calculated from the color data of the subject with little influence of the outdoor light source, it is close to the color temperature of the indoor light source. When the first camera is used as a reference camera, the other camera signal detection information acquisition unit 0103 of the first camera acquires an estimated color temperature value of the shooting scene detected by the second camera, and controls the imaging of the first camera. The unit 0104 includes a color temperature estimation value of the shooting scene of the first camera, a color temperature estimation value of the shooting scene of the second camera, a color temperature estimation value of the shooting scene of the first camera, and a shooting scene of the second camera. Any one of the weighted average values of the estimated color temperature values is selected and fed back to the white balance control of the first camera. FIG. 6C shows an image obtained by inputting the image obtained when the estimated color temperature of the shooting scene of the first camera is fed back to the white balance control of the first camera to the color vector scope. FIG. 6D shows an example of the color information of the subject. FIG. 6D shows an image obtained when the estimated color temperature of the shooting scene of the second camera is fed back to the white balance control of the first camera as a color vector scope. It is an example of the color information of the to-be-photographed object in the image | video obtained by inputting. In FIG. 6C, since the estimated color temperature value of the shooting scene of the first camera is higher than the color temperature of the indoor light source, white balance control is performed based on the estimated color temperature value of the shooting scene of the first camera. The color reproducibility of the subject person in the room is lowered. In FIG. 6D, an image in which the color reproducibility of the subject person in the room is improved by performing white balance control using the color temperature estimation value of the shooting scene of the second camera close to the color temperature of the indoor light source. Is obtained. As described above, by using detection information of another camera that can stably perform estimation of the color temperature of the shooting scene, it is possible to perform white balance control more suitable for the shooting scene.

  FIG. 7 is a fifth diagram illustrating an example of an imaging control method using other imaging signal detection information according to the first embodiment of the present invention. In the present invention, the imaging control using the other imaging signal detection information is performed by the other imaging signal detection information acquisition unit 0103 and the imaging control unit 0104. FIG. 7 is an example when imaging control using other imaging signal detection information according to the first embodiment of the present invention is applied to fog image correction processing control. FIG. 7A shows an example of a camera installation situation when cameras are installed indoors and outdoors where fog is likely to occur. The first camera generates fog through a window. The second camera is installed so that only the outdoors where the fog is generated is included in the angle of view. FIG. 7B is a diagram showing contrast enlargement control when the detection information of each camera is used, with the horizontal axis representing the detection value of the dense fog of the shooting scene as the detection information, and the vertical axis representing the fog image correction control. The target value is taken. The estimated fog value of the shooting scene is calculated from, for example, the integrated luminance value, edge distribution, edge strength, and the like of a predetermined area of the imaging signal. A straight line indicated by a dotted line in the figure is an example of a target value for appropriate fog image correction control with respect to an estimated value of dark fog likeness in a detected shooting scene, and the target value of fog image correction control is increased as the fog fog likelihood increases. This makes it possible to obtain a suitable image with little influence of fog. The estimated value of the dense fog of the shooting scene calculated by the first camera takes a small value because the area reflected outdoors is small within the angle of view, and the contrast expansion coefficient is small. On the other hand, when the estimated fog value of the shooting scene of the second camera is used, the target value for fog image correction control is increased. When the first camera is the reference camera, the other imaging signal detection information acquisition unit 0103 of the first camera acquires an estimated value of the dense fog of the shooting scene detected by the second camera, and the imaging control of the first camera. The unit 0104 is a dark fog estimation value of the shooting scene of the first camera, a dark fog estimation value of the shooting scene of the second camera, a dark fog estimation value of the shooting scene of the first camera, and a shooting scene of the second camera. Is selected from the weighted average value of the dark fog likeness estimation value, and is fed back to the fog image correction processing control of the first camera. Here, the fog image correction processing control refers to parameter control such as the strength of contrast expansion control of the signal processing unit 0102 and the coefficient of luminance / color correction processing. FIG. 7C is an example of an image obtained when the estimated fog value of the shooting scene of the first camera is fed back to the fog image correction processing control of the first camera, and FIG. It is an example of the image | video obtained when the fogging-likeness estimated value of the imaging | photography scene of a 2nd camera is fed back to the fog image correction process control of a 1st camera. In FIG. 7C, the indoor scene is included in the photographic scene, so that the estimated value of the dense mist of the photographic scene is low, and sufficient fog image correction cannot be performed, and the outdoor contrast is lowered. On the other hand, in FIG. 7D, since only the outdoors are included in the shooting scene, the estimated value of fog is high, and sufficient fog image correction can be performed, and the outdoor contrast is improved. At this time, an area in the imaging signal for performing the fog image correction process may be determined in advance, and the fog image correction process may be performed by feeding back the estimated fog value only in the area. The effect of appropriate fog image correction processing can be obtained. In this way, by using the detection information of another camera that can stably perform the estimation of the dense fog of the shooting scene, it is possible to perform fog image correction processing control more suitable for the shooting scene.

  FIG. 8 is a sixth diagram illustrating an example of an imaging control method using other imaging signal detection information according to the first embodiment of the present invention. In the present invention, the imaging control using the other imaging signal detection information is performed by the other imaging signal detection information acquisition unit 0103 and the imaging control unit 0104. FIG. 8 is an example in a case where imaging control using other imaging signal detection information according to the first embodiment of the present invention is applied to raindrop removal processing control. FIG. 8A is an overhead view showing an example of the camera installation situation when the camera is installed indoors and outdoors in rainy weather. The first camera shows an image of the outdoor in the rain through a window. The second camera is installed so as to enter the corner, and the second camera is installed so that only the outdoor area during the rain falls. FIG. 8B is a diagram showing raindrop removal control when the detection information of each camera is used, in which the horizontal axis represents the rainyness estimation value of the shooting scene as detection information, and the vertical axis represents the raindrop removal control. The value of whether or not is taken. The rainyness estimated value of the shooting scene is calculated from, for example, the motion vector in the time axis direction of the luminance of a predetermined area of the imaging signal, the size and distribution of the inter-frame difference value, and the like, and the raindrop performed by the imaging control unit 0104 In the removal processing control, the raindrop removal process is performed in the signal processing unit 0102 when the rainy weather estimation value is larger than the threshold value, and the raindrop removal in the signal processing unit 0102 is performed when the rainy weather estimation value is smaller than the threshold value. Control not to execute the process. The raindrop removal process in the signal processing unit 0102 performs, for example, a three-dimensional noise reduction process considering a motion vector. When the first camera is a reference camera, the other camera signal detection information acquisition unit 0103 of the first camera acquires an estimated rainyness value of the shooting scene detected by the second camera, and performs imaging control of the first camera. The unit 0104 includes a rainy weather estimation value of the shooting scene of the first camera, a rainy weather estimation value of the shooting scene of the second camera, a rainy weather estimation value of the shooting scene of the first camera, and a shooting scene of the second camera. Is selected from the weighted average value of the estimated rainy weather value and fed back to the raindrop removal process control of the first camera. FIG. 8C is an example of an image obtained when the rainy weather estimation value of the shooting scene of the first camera is fed back to the raindrop removal process control of the first camera, and FIG. It is an example of the image | video obtained when the rainy weather estimated value of the imaging | photography scene of 2 cameras is fed back to the raindrop removal process control of a 1st camera. In FIG. 8C, since the indoor scene is included in the photographic scene, the rainyness estimation value of the photographic scene becomes low, raindrop removal processing cannot be performed, and outdoor visibility deteriorates. On the other hand, in FIG. 8D, since only the outdoor is included in the shooting scene, the rainyness estimation value is increased, and raindrop removal processing can be applied, thereby improving outdoor visibility. At this time, an area in the imaging signal for performing the raindrop removal process may be determined in advance, and the raindrop removal process may be performed by feeding back the rainyness estimation value only in that area. In this case, only the outdoor area is appropriate. The effect of the raindrop removal process can be obtained. As described above, by using the detection information of another camera that can stably estimate the rainyness of the shooting scene, it is possible to perform raindrop removal process control that is more suitable for the shooting scene.

  FIG. 9 is a seventh diagram illustrating an example of an imaging control method using other imaging signal detection information according to the first embodiment of the present invention. In the present invention, the imaging control using the other imaging signal detection information is performed by the other imaging signal detection information acquisition unit 0103 and the imaging control unit 0104. FIG. 9 is an example in a case where imaging control using other imaging signal detection information according to the first embodiment of the present invention is applied to flicker cancellation control. FIG. 9A is an overhead view showing an example of a camera installation situation when two cameras are installed in a room under a fluorescent lamp having a power frequency different from the imaging frame rate of the camera. This camera is installed so that the outdoor angle of view is set through the window, and the second camera is set so that only the room is set at the angle of view. FIG. 9B is a diagram showing fluctuations in the estimated brightness values of the shooting scenes of the respective cameras. The horizontal axis represents time, and the vertical axis represents the estimated brightness values of the shooting scene. For example, when a CCD is used as the image sensor, the brightness of the obtained image varies from frame to frame even if the same subject is photographed under the same conditions if the imaging frame rate of the camera and the power supply frequency of the fluorescent lamp are different. . The signal processing unit 0102 detects the flicker state from this brightness variation, and the imaging control unit 0104 performs signal processing such that the signal processing unit 0102 cancels flicker from the flicker detection information detected by the signal processing unit 0102. Thus, flicker cancellation control is performed. In the example of FIG. 9B, since the first camera includes an outdoor scene in the shooting scene, the fluctuation of the estimated brightness of the shooting scene between frames is smaller than that of the second camera, and flicker is detected. Hateful. Therefore, when the first camera is a reference camera, the other camera signal detection information acquisition unit 0103 of the first camera acquires flicker detection information of a shooting scene detected by the second camera, and the first camera captures the image. The control unit 0104 performs flicker cancellation control using flicker detection information of the shooting scene of the second camera. This makes it possible to perform flicker cancellation control appropriate for a shooting scene by using detection information of another camera that can stably detect flicker even in an installation state where it is difficult to detect flicker components. Is possible.

  FIG. 10 is an eighth diagram illustrating an example of an imaging control method using other imaging signal detection information according to the first embodiment of the present invention. In the present invention, the imaging control using the other imaging signal detection information is performed by the other imaging signal detection information acquisition unit 0103 and the imaging control unit 0104. FIG. 10 shows an example in which imaging control using other imaging signal detection information according to the first embodiment of the present invention is applied to frame rate control of signal processing. FIG. 10 (a) shows an example of the camera installation situation when two cameras are installed in the site for the purpose of managing visitors to the site, and the first camera is in the site. The second camera is shown so that the vicinity of the entrance in the site is located within the angle of view. In addition, a state is shown in which a pedestrian progresses from the outside of the site to the back of the site from time t through time t + a to time t + b (where b> a). At this time, the second camera detects a person in the video by image processing and outputs it as detection information. When the first camera is used as a reference camera, other imaging signal detection information acquisition of the first camera is obtained. The unit 0103 acquires person detection information from the second camera, and the imaging control unit 0104 of the first camera uses a frame rate for performing signal processing while a person is not detected by the second camera. When a person is detected by the second camera, the frame rate for signal processing is set to be the same as the imaging frame rate for a certain period. Human detection in video by image processing is based on existing methods such as pattern matching, evaluation of feature quantities, and humanity evaluation processing by area and color after detecting a moving object by interframe difference and labeling. Use it. FIG. 10 (b) is a diagram showing images taken by the first camera and the second camera at time t, and FIG. 10 (c) shows the first camera and the second camera at time t + a. FIG. 10D is a diagram illustrating images respectively captured by the first camera and the second camera at time t + b. In FIG. 10B, before the pedestrian enters the site, the imaging control unit 0104 of the first camera controls the frame rate for signal processing to be smaller than the imaging frame rate. On the other hand, in FIG. 10C and FIG. 10D, the moment when the pedestrian enters the site and immediately after that, the imaging control unit 0104 of the first camera sets the frame rate for performing signal processing to the imaging frame rate. Same as. As a result, the first camera performs signal processing while saving power while the pedestrian is outside the premises, and improves the pedestrian visibility by performing signal processing every frame immediately after entering the site. be able to. At this time, by using the person detection result detected by the imaging control unit 0104 of the first camera with the second camera, the frame rate is improved before the pedestrian enters the angle of view of the first camera, and the pedestrian is detected. It is possible to prevent the occurrence of a frame that misses shooting. As described above, by using detection information of other cameras having different installation positions, adaptive frame rate control that achieves both power saving and visibility can be performed.

  FIG. 11 is a ninth diagram illustrating an example of an imaging control method using other imaging signal detection information according to the first embodiment of the present invention. In the present invention, the imaging control using the other imaging signal detection information is performed by the other imaging signal detection information acquisition unit 0103 and the imaging control unit 0104. FIG. 11 shows an example in which imaging control using other imaging signal detection information according to the first embodiment of the present invention is applied to face authentication processing control of signal processing. FIG. 11 (a) shows an example of a camera installation situation when two cameras are installed in the site for the purpose of authenticating visitors to the site, and the first camera is in the site. The second camera is shown so that the vicinity of the entrance in the site is located within the angle of view. In addition, the first pedestrian moving only within the site is walking in the site at time t, and the second pedestrian entering the site from outside the site passes from time t through time t + a to time t + b. (However, it is assumed that b> a), the state of progressing from the outside of the site to the back of the site is shown. At this time, the second camera detects a person in the video by image processing and outputs it as detection information. When the first camera is used as a reference camera, other imaging signal detection information acquisition of the first camera is obtained. The unit 0103 acquires person detection information from the second camera, and the imaging control unit 0104 of the first camera does not perform face authentication processing control while the second camera is not detecting a person, When a person is detected by the camera, the face authentication process control is started. For the face authentication process, for example, an existing method may be used, such as detecting a face region because there is no video by evaluating a feature amount, and performing identification processing by matching with a template registered in advance. FIG. 11B is a diagram showing a video generated by superimposing the image processing result on the video captured by the first camera and the second camera at time t, and FIG. It is the figure which showed the image | video produced by superimposing the image processing result on the image | video each image | photographed with the 1st camera and the 2nd camera in the time t + a, FIG.11 (d) is the 1st camera in the time t + b. FIG. 5 is a diagram illustrating a video generated by superimposing an image processing result on a video captured by a second camera. Here, when face authentication is performed or when person detection is performed, the subject is displayed surrounded by a rectangle. In FIG. 11B, before the pedestrian enters the site, the imaging control unit 0104 of the first camera does not perform face authentication control. On the other hand, in FIG. 11 (c) and FIG. 11 (d), it is the moment when the pedestrian enters the site and immediately after that, and the imaging control unit 0104 of the first camera performs the face authentication processing control, and as a result In FIG. 11D, a rectangle is superimposed and displayed on the face of the person who has performed face authentication. Thereby, the person who entered the site from outside the site is targeted for the face authentication process, so that the site visitor authentication process can be efficiently performed. As described above, by using detection information of other cameras having different installation positions, efficient image detection processing control and image recognition processing control can be performed.

  As described above, according to the present embodiment, the imaging control and signal processing control adapted to the shooting scene, and the function expansion using the signal processing are realized by linking with the detection result of the video information captured by the other camera. it can.

  FIG. 12 is a first schematic diagram showing an imaging apparatus according to the second embodiment of the present invention. In FIG. 12, reference numeral 0101 denotes an imaging unit, 0102 denotes a signal processing unit, 0103 denotes another imaging signal detection information acquisition unit, 0104 denotes an imaging control unit, 1205 denotes a video compression unit, and 1206 denotes a video compression control unit, which are shown in FIG. In addition, a video compression unit 1205 and a video compression control unit 1206 are added to the schematic diagram illustrating the imaging apparatus according to the first embodiment of the present invention.

  In the imaging device shown in FIG. 12, the imaging unit 0101, the signal processing unit 0102, the other imaging signal detection information acquisition unit 0103, and the imaging control unit 0104 are the same as the imaging device according to the first embodiment of the present invention shown in FIG. Similar processing is performed. The video compression unit 1205 encodes the corrected video signal output from the signal processing unit 0102 and outputs the encoded video signal to a video recording unit or a video network output unit (not shown) as compressed video data. The video compression control unit 1206 includes detection information output from the signal processing unit 0102, detection information output from the other imaging signal detection information acquisition unit 0103, user input information input from a user input unit (not shown), or an EEPROM (not shown) in advance. The video recording unit 1205 controls the resolution, image quality, frame rate, bit rate, and the like of the compressed video when the video recording unit 1205 encodes the video signal. As a result, it is possible to perform video compression control in cooperation with the detection result of video information captured by another camera. Note that the video compression processing of the video compression unit 1205 and the video compression control processing of the video compression control unit 1206 are normally performed by a microcomputer, a codec LSI, a dedicated ASIC, FPGA, or the like in the camera. Further, a part or all of the video recording unit 1205 and the recording control unit 1206 may be performed by a PC or a dedicated video compression device.

  FIG. 13 is a first diagram illustrating an example of a video compression control method using other imaging signal detection information according to the second embodiment of the present invention. In the present invention, the video compression control using the other imaging signal detection information is performed by the other imaging signal detection information acquisition unit 0103 and the video compression control unit 1206. FIG. 13 shows an example in which the video compression control using the other imaging signal detection information according to the second embodiment of the present invention is applied to the compressed video image quality control. FIG. 13A shows an example of the camera installation situation when two cameras are installed in the site for the purpose of managing visitors to the site, and the first camera is in the site. The second camera is shown so that the vicinity of the entrance in the site is located within the angle of view. In addition, a state is shown in which a pedestrian progresses from the outside of the site to the back of the site from time t through time t + a to time t + b (where b> a). At this time, the second camera detects a person in the video by image processing and outputs it as detection information. When the first camera is used as a reference camera, other imaging signal detection information acquisition of the first camera is obtained. The unit 0103 acquires person detection information from the second camera, and the video compression control unit 1206 of the first camera is a video compression frame rate, bit rate, or image while no person is detected by the second camera. The resolution is controlled to be low, and when a person is detected by the second camera, the frame rate, the bit rate, and the image resolution for video compression are controlled to be high. FIG. 13B is a diagram showing a video compressed by the first camera at time t and a video shot by the second camera, and FIG. 13C shows the first camera at time t + a. FIG. 13D is a diagram showing the video compressed by the second camera and the video taken by the second camera, and FIG. 13D shows the video compressed by the first camera and the second camera taken at time t + b. It is the figure which showed the image | video. In FIG. 13B, before the pedestrian enters the site, the video compression unit 1205 of the first camera performs video compression with low image quality. On the other hand, in FIG. 13C and FIG. 13D, the moment when the pedestrian enters the site and immediately after that, the video compression unit 1205 of the first camera performs video compression with high image quality. As a result, while the pedestrian is outside the site, the first camera outputs video compressed at a high compression rate, thereby improving network transfer efficiency when delivering compressed video over the network. After entering, it is possible to improve the visibility of pedestrians by performing high-quality video compression with a low compression rate. As described above, by using detection information of other cameras having different installation positions, it is possible to dynamically control the image quality of the compressed video, and to reduce the recording data volume and improve the network transfer efficiency.

  FIG. 14 is a second schematic diagram illustrating the imaging apparatus according to the second embodiment of the present invention. In FIG. 14, 0101 is an imaging unit, 0102 is a signal processing unit, 0103 is an other imaging signal detection information acquisition unit, 0104 is an imaging control unit, 1205 is a video compression unit, 1206 is a video compression control unit, 1407 is a video recording unit, Reference numeral 1408 denotes a recording control unit, which is configured by adding a video recording unit 1407 and a recording control unit 1408 to the second schematic diagram showing the imaging apparatus according to the second embodiment of the present invention shown in FIG.

  In the imaging apparatus shown in FIG. 14, the imaging unit 0101, the signal processing unit 0102, the other imaging signal detection information acquisition unit 0103, the imaging control unit 0104, the video compression unit 1205, and the video compression control unit 1206 are the same as those shown in FIG. Processing similar to that of the first example of the imaging apparatus according to the second embodiment of the invention is performed. The video recording unit 1407 converts the corrected video signal output from the signal processing unit 0102 as still image data or a set of still image data, or the compressed video signal output from the video compression unit 1205 as a moving image. Data is recorded on a recording medium such as a magnetic disk, an optical disk, or a flash memory. The recording control unit 1408 stores detection information output from the signal processing unit 0102, detection information output from the other imaging signal detection information acquisition unit 0103, user input information input from a user input unit (not shown), or an EEPROM (not shown) in advance. Based on the stored definition information, the video recording unit 1407 records the recording start and end timing when recording the video signal as still image data or moving image data, the resolution of the recorded image, the image quality of the recorded image, and the moving image data. Control the frame rate, bit rate, etc. Thereby, it is possible to perform recording control in cooperation with the detection result of the video information photographed by another camera. Note that the recording process of the video recording unit 1407 and the recording control process of the recording control unit 1408 are normally performed by a microcomputer, a codec LSI, a dedicated ASIC, FPGA, or the like in the camera. Further, a part or all of the video recording unit 1407 and the recording control unit 1408 may be performed by a PC or a dedicated video recording device.

  FIG. 15 is a second diagram illustrating an example of a recording control method using other imaging signal detection information according to the second embodiment of the present invention. In the present invention, recording control using the other imaging signal detection information is performed by the other imaging signal detection information acquisition unit 0103 and the recording control unit 1408. FIG. 15 is an example of a case where recording control using other imaging signal detection information according to the second embodiment of the present invention is applied to video recording start timing control. In the example of the camera installation situation shown in FIG. 15A, the second camera detects a person in the image by image processing and outputs it as detection information, and the first camera is used as a reference camera. The other imaging signal detection information acquisition unit 0103 of the first camera acquires person detection information from the second camera, and the recording control unit 1408 of the first camera detects that no person is detected by the second camera. Controls the video recording unit 1407 not to perform the recording process, and controls the video recording unit 1407 to start the recording process when a person is detected by the second camera. FIG. 15A is a diagram showing a video recorded by the first camera and a video shot by the second camera at time t, and FIG. 15B is a diagram showing the first camera at time t + a. FIG. 15C is a diagram showing a video recorded at the time t + b and a video shot by the second camera at a time t + b. It is the figure which showed the image | video. In FIG. 15A, before the pedestrian enters the site, the video recording unit 1407 of the first camera does not record video. On the other hand, in FIGS. 15B and 15C, the video recording unit 1407 of the first camera starts video recording at the moment when the pedestrian enters the site and immediately after that. As a result, the first camera does not record while the pedestrian is outside the site, saves power and saves the recording medium, and records the pedestrian by recording after entering the site. Can do. At this time, by using the person detection result detected by the second camera by the recording control unit 1408 of the first camera, the recording is started before the pedestrian enters the angle of view of the first camera. It is possible to prevent the occurrence of frames that fail to record. In this way, by using detection information of other cameras with different installation positions, it is possible to improve the efficiency of video recording and to save power and to save pedestrian confirmation during playback.

  As described above, according to this embodiment, it is possible to realize video compression control and video recording control adapted to the shooting scene by cooperating with the detection result of the video information shot by other cameras. The capacity can be reduced and network transfer efficiency can be improved.

  FIG. 16 is a schematic diagram showing an imaging apparatus according to the third embodiment of the present invention. In FIG. 16, reference numeral 0101 denotes an imaging unit, 0102 denotes a signal processing unit, 1603 denotes other multiple imaging signal detection information acquisition unit, and 0104 denotes an imaging control unit. The imaging apparatus according to the first embodiment of the present invention shown in FIG. The other imaging signal detection information acquisition unit 0103 is replaced with another imaging signal detection information acquisition unit 1603.

  In the imaging device shown in FIG. 16, the imaging unit 0101 and the signal processing unit 0102 perform the same processing as the imaging device according to the first embodiment of the present invention shown in FIG. The other plurality of imaging signal detection information acquisition unit 1603 is connected to another plurality of imaging signal processing devices by Ethernet, serial, or the like, and the imaging signals captured by the plurality of other imaging devices in the other imaging signal processing devices. Detection information obtained by performing signal processing is acquired and output to the imaging control unit 0104. The imaging control unit 0104 uses the detection information output from the signal processing unit 0102, the plurality of detection information output from the other multiple imaging signal detection information acquisition unit 0103, or user input information input from a user input unit (not shown). The imaging conditions of the unit 0101 and signal processing performed by the signal processing unit 0102 are controlled. At this time, the imaging control unit 0104 uses the detection information output from the signal processing unit 0102 or the plurality of detection information output from the other multiple imaging signal detection information acquisition unit 0103 by taking a weighted average. Thereby, when a large number of three or more monitoring cameras are installed in an area to be photographed, such as a wide area surveillance system, it is possible to perform imaging control using more stable photographing scene detection information. . It should be noted that the other multiple imaging signal detection information acquisition unit 1603 is connected to a plurality of other imaging signal processing devices and detection information acquisition processing is normally performed by a microcomputer in the camera, a camera signal processing DSP, a dedicated ASIC, FPGA, or the like. Is called. Further, the processing of the other plurality of imaging signal detection information acquisition unit 1603 may be performed by a PC, a dedicated image processing apparatus, or the like.

  FIG. 17 is a diagram illustrating an example of an imaging control method using other multiple imaging signal detection information according to the third embodiment of the present invention. In the present invention, imaging control using the other imaging signal detection information is performed by the other imaging signal detection information acquisition unit 1603 and the imaging control unit 0104. FIG. 17 (a) shows an example of a camera installation situation when two cameras are installed indoors and one camera is installed outdoors, and the first camera is outdoors through a window. Is installed so that the angle of view is included, the second camera is installed so that only the room enters the angle of view, and the third camera is installed so that only the outdoors is included in the angle of view. . FIG. 17B shows the detection information output by the imaging control unit 0104 of the first camera and the detection information output by the signal processing unit 0102 of the first camera when the first camera is the reference camera. Detection that performs weighted averaging when weighting the detection information of the second camera and the detection information of the third camera acquired from the other multiple imaging signal processing detection information acquisition unit, respectively, and using them for imaging control The weights of the first camera detection information, the second camera detection information, and the third camera detection information for each of the brightness estimation value, color temperature estimation value, and weather estimation value of the shooting scene that is information It is the table | surface which showed the example at the time of defining. In the example of FIG. 17B, since the first camera is installed indoors, when the estimated brightness value and color temperature estimated value of the shooting scene are obtained by weighted averaging, only the indoor area is set to the angle of view. It is preferable to increase the weight of the second camera that enters, and to decrease the weight of the third camera that only enters the field of view. On the other hand, when obtaining the outdoor weather estimated value reflected outside the window, it is preferable to increase the weight of the third camera in which only the outdoor enters the angle of view. By using detection information obtained by taking a weighted average with an appropriate weight in this way, it is possible to perform imaging control and signal processing control that are more adapted to the shooting scene. Note that the weight of detection information of each camera may be determined and set by the user in advance according to the installation position of the camera, or may be determined and set by weight estimation processing described later with reference to FIG.

  FIG. 18 is a diagram showing an example of the imaging control and detection information weight estimation sequence according to the third embodiment of the present invention. In the present invention, the imaging control process and the detection information weight estimation process are performed by the other plurality of imaging signal detection information acquisition unit 1603 and the imaging control unit 0104. In the imaging control and detection information weight estimation sequence of FIG. 18, in ST1801, other multiple imaging signal detection information acquisition section 1603 connects to another imaging signal processing device and requests acquisition of detection information. In ST1802, the other plurality of imaging signal detection information acquisition section 1603 determines whether there is any detection information that can be acquired. If there is detection information, the other imaging signal detection information acquisition section 1603 outputs it to the imaging control section 0104 and proceeds to ST1803. If communication times out, the process proceeds to ST1804. In ST1803, the imaging control unit 0104 adds the weight corresponding to the other imaging signal processing device stored in advance to the detection information acquired from the other imaging signal processing device. In ST1804, the other multiple imaging signal detection information acquisition section 1603 determines whether detection information has been acquired from all the other connected imaging signal processing devices, and there is another imaging signal processing device that has not acquired detection information. In this case, the process is repeated from ST1801, and when the detection information is acquired from all other imaging signal processing apparatuses, the process proceeds to ST1805. In ST1805, the imaging control unit 0104 calculates the imaging condition of the imaging unit 0101 and the signal processing parameter of the signal processing unit 0102 based on the detection information obtained by the weighted average, and the imaging unit 0101 and the signal processing, respectively. Output to the unit 0102. In ST1806, the imaging control unit 0104 calculates the difference between the detection information obtained by taking the weighted average and the detection information acquired from each other imaging signal processing device. In ST1807, the imaging control unit 0104 detects the detection acquired from each other imaging signal processing device based on the difference between the detection information obtained by taking the weighted average and the detection information acquired from each other imaging signal processing device. Update the information weight. For example, when the difference between the detection information acquired from a certain other imaging signal processing device and the detection information obtained by weighted average is small, the detection information acquired from the other imaging signal processing device is assumed to be highly reliable, The weight in the subsequent processing is increased. Conversely, when the difference is large, the reliability is low and the weight in the subsequent processing is decreased. As a result, when multiple cameras are installed in the area to be photographed, it is automatically determined which camera is capable of estimating a stable shooting scene, and imaging control and signal processing more suitable for the shooting scene are performed. Control can be performed.

  As described above, according to the present embodiment, it is possible to perform imaging control and signal processing adapted to a shooting scene when a large number of cameras are installed in a wide area by linking with detection results of video information captured by other cameras. Functions that apply control and signal processing can be realized.

  In addition, this invention is not limited to an above-described Example, Various modifications are included. For example, the above-described embodiments have been described in detail for easy understanding of the present invention, and are not necessarily limited to those having all the configurations described. Further, a part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment. Further, it is possible to add, delete, and replace other configurations for a part of the configuration of each embodiment.

  Each of the above-described configurations, functions, processing units, processing means, and the like may be realized by hardware by designing a part or all of them with, for example, an integrated circuit. Each of the above-described configurations, functions, and the like may be realized by software by interpreting and executing a program that realizes each function by the processor. Information such as programs, tables, and files for realizing each function can be stored in a recording device such as a memory, a hard disk, an SSD (Solid State Drive), or a recording medium such as an IC card, an SD card, or a DVD.

  Further, the control lines and information lines indicate what is considered necessary for the explanation, and not all the control lines and information lines on the product are necessarily shown. Actually, it may be considered that almost all the components are connected to each other.

  The present invention can be used for an imaging apparatus, a PC application connected to the imaging apparatus, an image processing apparatus, and the like for consumer use, monitoring, in-vehicle use, and business use.

0101 Imaging unit 0102 Signal processing unit 0103 Other imaging signal detection information acquisition unit 0104 Imaging control unit 1205 Video compression unit 1206 Video compression control unit 1407 Video recording unit 1408 Recording control unit 1603 Other multiple imaging signal detection information acquisition unit

Claims (12)

Imaging means for photoelectrically converting light incident on the imaging device and outputting it as an imaging signal;
Performs signal processing in the shooting image signal, a signal processing means for outputting a video signal,
And other imaging signal detection information obtaining means for obtaining luminance estimation information at the time of shooting by signal processing an image signal obtained from the other imaging device as the detection information,
Imaging control means for controlling exposure of the imaging means or noise correction processing or contrast correction processing of the signal processing means using brightness estimation information at the time of shooting output from the other imaging signal detection information acquisition means;
An imaging apparatus comprising:   Imaging means for photoelectrically converting light incident on the imaging device and outputting it as an imaging signal;
  Signal processing means for performing signal processing on the imaging signal and outputting a video signal;
  Other imaging signal detection information acquisition means for performing signal processing on an imaging signal obtained from another imaging device and acquiring brightness estimation information at the time of shooting as detection information;
  Imaging control means for controlling dynamic range expansion processing of the signal processing means using brightness estimation information at the time of shooting output from the other imaging signal detection information acquisition means;
  Providing
  An imaging apparatus characterized by the above.   An image pickup means comprising a detachable near infrared light cut filter, photoelectrically converting light incident on the image pickup device and outputting it as an image pickup signal;
  Signal processing means for performing signal processing on the imaging signal and outputting a video signal;
  Other imaging signal detection information acquisition means for performing signal processing on an imaging signal obtained from another imaging device and acquiring brightness estimation information at the time of shooting as detection information;
  Imaging control means for controlling the attachment / detachment state of the near-infrared light cut filter of the imaging means to the imaging element using the brightness estimation information at the time of imaging output from the other imaging signal detection information acquisition means;
  Providing
  An imaging apparatus characterized by the above.   Imaging means for photoelectrically converting light incident on the imaging device and outputting it as an imaging signal;
  Signal processing means for performing signal processing on the imaging signal and outputting a video signal;
  Other imaging signal detection information acquisition means for processing the imaging signal obtained from another imaging device and acquiring weather estimation information at the time of shooting as detection information;
  Imaging control means for controlling fog image correction processing or contrast expansion processing of the signal processing means using the weather estimation information at the time of shooting output from the other imaging signal detection information acquisition means;
  Providing
  An imaging apparatus characterized by the above.   Imaging means for photoelectrically converting light incident on the imaging device and outputting it as an imaging signal;
  Signal processing means for performing signal processing on the imaging signal and outputting a video signal;
  Other imaging signal detection information acquisition means for processing the imaging signal obtained from another imaging device and acquiring weather estimation information at the time of shooting as detection information;
  Imaging control means for controlling raindrop removal processing or snow removal processing of the signal processing means using the weather estimation information at the time of shooting output from the other imaging signal detection information acquisition means;
  Providing
  An imaging apparatus characterized by the above.   Imaging means for photoelectrically converting light incident on the imaging device and outputting it as an imaging signal;
  Signal processing means for performing signal processing on the imaging signal and outputting a video signal;
  Other imaging signal detection information acquisition means for performing signal processing on an imaging signal obtained from another imaging device and acquiring flicker detection information at the time of shooting as detection information;
  Imaging control means for controlling flicker cancellation processing of the signal processing means using the flicker detection information at the time of shooting output from the other imaging signal detection information acquisition means;
  Providing
  An imaging apparatus characterized by the above. The imaging apparatus according to claim 1, further comprising:
Video compression means for compressing and outputting the video signal output by the signal processing means;
Further comprising a video compression control means for controlling the image compression processing of the video compression means by using the detection information output from the previous SL imaging signal detection information acquisition means,
An imaging apparatus characterized by the above. The imaging apparatus according to claim 7 ,
The video compression control means uses the detection information output by the other imaging signal detection information acquisition means, and uses the compressed video frame rate, the compressed video bit rate, the compressed video resolution, and the compressed video image quality in the video compression means. Controlling at least one of
An imaging apparatus characterized by the above. The imaging apparatus according to claim 7 ,
Furthermore, the video signal output from the signal processing means or the video recording means for recording the compressed video signal output from the video compression means,
Recording control means for controlling recording processing of the video recording means using detection information output by the other imaging signal detection information acquisition means,
An imaging apparatus characterized by the above. The imaging device according to claim 9 ,
The recording control means uses the detection information output from the other imaging signal detection information acquisition means to start and end the recording process in the video recording means, the frame rate of the recorded video, the bit rate of the recorded video, the recorded video Controlling at least one of video resolution, video quality of recorded video,
An imaging apparatus characterized by the above. Imaging means for photoelectrically converting light incident on the imaging device and outputting it as an imaging signal;
Performs signal processing in the shooting image signal, a signal processing means for outputting a video signal,
And other multiple imaging signal detection information acquisition means for acquiring detection information of multiple and signal processing an image signal obtained from a plurality of other imaging devices,
For each of the plurality of detection information output from the other plurality of image pickup signal detection information acquisition means , each detection information is weighted based on the installation position and shooting angle of view of the other plurality of image pickup devices, and the weighted detection information is obtained. Imaging control means for controlling imaging conditions of the imaging means or signal processing of the signal processing means using,
An imaging apparatus characterized by the above. The imaging device according to claim 11 ,
The imaging control unit is configured to detect the plurality of pieces of detection information obtained by performing signal processing on the imaging signals of the other plurality of imaging devices acquired from the other plurality of imaging signal detection information acquisition units. Each detection information is weighted based on the installation position, the shooting angle of view, and past detection results, and the imaging conditions of the imaging means and the signal processing of the signal processing means are controlled using the weighted detection information. ,
An imaging apparatus characterized by the above.

Images