JP2015175752A - Distance image generating device, object detecting device, and object detecting method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To obtain highly accurate distance values for an object of a known size to be detected in a distance image generating device using a light flying time type distance image sensor and thereby to enhance the accuracy of detection, by determining the optimal filter parameter for each of the distance images obtained.SOLUTION: On the basis of calculated distance values calculated by a light flying time type distance image sensor, the optimal parameter of a filter applied for detecting an object of a known size is determined for each pixel. And the determined filter is applied to the calculated distance values to smooth them. The object is detected by detecting a minimum distance value on a distance image having the smoothed distance values as its pixel values. The parameter to be determined may be calculated on the basis of corrected values resulting from the calculated distance values cleared of background information. In this case, the filter may as well be applied to a corrected distance image having the corrected values as its pixel values.

Description

  The present invention relates to a distance image generation technique using a time-of-flight distance image sensor, and more particularly to a distance value calculation technique and an object detection technique.

  There is a distance image generation device that generates a distance image having a pixel value of a distance from a target object in an imaging target space using the optical flight distance image sensor. Among them, a time-of-flight type (TOF method: Time Of Flight method) distance image sensor is composed of a light source that emits modulated light and a light receiving element (imaging device) that receives the modulated light, and emits modulated light. The distance value is calculated based on the reflected light received every time.

  In such a distance image sensor, distance measurement is performed using reflected light from a target object. Therefore, when the distance from the distance image sensor to the target object is long, or when the reflectance of the target object is low, the light incident on the image sensor is also weak, and the calculated distance varies. Therefore, accurate distance measurement cannot be performed.

  In such a case, in order to reduce noise and temporal variation, a spatial filter or a temporal filter is applied to the obtained distance image to perform smoothing. The spatial filter performs smoothing using the neighboring pixels of the target pixel. The time filter performs smoothing using values sampled in the past from a predetermined time of the target pixel.

  For example, when the size of the object to be detected (target object) is known, regarding the spatial filter, if the size of the spatial filter is too large for the target object, the distance between the target object and the background in the vicinity thereof Is smoothed. For this reason, the accurate distance information of the target object is lost. On the other hand, when the size of the spatial filter is too small for the target object, the smoothing effect is low, and the noise reduction effect of the distance value of the target object is low.

  Regarding the time filter, if the target object is moving, if the number of samples going back in the past (size) is too large, the target object will be traced back to the time when the target object does not exist when the filter is applied. There can be. In such a case, smoothing is performed including information other than the distance information of the target object, and an accurate distance value cannot be obtained. On the other hand, when the number of samples of the time filter is too small, the smoothing effect is low, and the noise reduction effect of the distance value of the target object is low.

  Therefore, when the distance image sensor is used for detecting a desired target object, it is important to determine an optimum size of a filter to be applied for each distance pixel. As a technique for determining an optimum filter size for each pixel, there is a technique for determining the size of a spatial filter and a temporal filter according to the luminance value of the pixel (see, for example, Patent Document 1).

JP 2007-050110 A

  The technique of Patent Document 1 is an image technique that uses a luminance value as a pixel value. Since the pixel value of the distance image is a distance value, when the technique of Patent Document 1 is applied to the distance image, the spatial filter and the temporal filter size are determined according to the distance value of the pixel to be smoothed. That is, in the technique of Patent Document 1, the size of the filter is determined without considering the size and moving speed of the target object. Accordingly, when the target is a distance image, the size may be excessively larger than that of the target object, or the time filter may be excessively traced back in the past, and the optimum filter performance is not necessarily obtained.

  Therefore, when an object having a known size is detected using a distance image, even if the technique of Patent Document 1 is applied, it is not possible to eliminate the variation in distance and improve the accuracy of the distance value as described above. For this reason, as a result, the accurate distance of the object cannot be calculated from the obtained distance image after smoothing, and the object cannot be detected with high accuracy.

  The present invention has been made in view of the above circumstances, and in a distance image generation apparatus using an optical time-of-flight distance image sensor, a highly accurate distance value is obtained and detected with respect to an object to be detected whose size is known. It aims at providing the technology which raises accuracy.

  The present invention determines an optimum parameter of a filter to be applied to detect an object of a known size for each pixel based on a calculated distance value calculated by an optical time-of-flight distance image sensor. Then, the determined filter is applied to the calculated distance value and smoothed. The object is detected by detecting the minimum value on the distance image having the smoothed distance value as the pixel value. The parameter may be determined based on a correction value obtained by removing background information from the calculated distance value. In this case, the filter may be applied to a correction distance image having a correction value as a pixel value.

  Specifically, a light source unit including a light source that irradiates modulated light modulated into the target space, and light including reflected light that is irradiated from the light source unit and reflected by the surface of the target in the target space is received. Sensor units each including a plurality of photoelectric conversion elements for converting into charges, a plurality of charge storage units provided for each of the photoelectric conversion elements, and the photoelectric conversion elements in synchronization with the modulation of the modulated light. A charge distribution unit that distributes the charged charges to the plurality of charge storage units, a distance image generation unit that generates a distance image whose pixel value is a distance value using the accumulated charges stored in the plurality of charge storage units, The distance image generation unit performs calculation processing on the accumulated charges of the plurality of charge accumulation units to obtain a calculated distance value for each pixel, and generates a calculated distance image using the calculated distance value as a pixel value. Calculation distance image generator A filter parameter determining unit that determines, for each pixel, a parameter of a filter used for smoothing according to information on a calculated distance value of the object in the calculated distance image and a size of the object held in advance; A smoothed image generation unit that obtains a smoothed distance image having a pixel value as a value after being smoothed by applying a filter of the parameter, wherein the smoothed distance image is the distance image. Provided is a distance image generating apparatus.

  An object detection apparatus comprising: the distance image generation apparatus; and an object detection unit that detects the presence or absence of an object using the smoothed distance image.

  Also, a light source unit that irradiates modulated light that is modulated into the target space, and photoelectric conversion that receives light including reflected light that is irradiated from the light source unit and reflected from the surface of the target object in the target space and converts the light into charges. A sensor unit having an element for each of a plurality of pixels, a plurality of charge storage units provided for each of the photoelectric conversion elements, and a charge converted by the photoelectric conversion element in synchronization with modulation of the modulated light An object detection method in an object detection device comprising a charge distribution unit that distributes to a charge storage unit, wherein the accumulated charge of the plurality of charge storage units is subjected to arithmetic processing to obtain a calculated distance value for each pixel, A calculation distance image generation step for generating a calculation distance image having the calculation distance value as a pixel value, and a calculation distance value of the object in the calculation distance image and information on the size of the object held in advance; A filter parameter determining step for determining, for each pixel, a filter parameter used for smoothing, a smoothing step for obtaining a smoothed distance image by applying the filter of the parameter to the calculated distance image, and the smoothed distance image And an object detection step of detecting the presence / absence of the object by using an object.

  Also, a light source unit that irradiates modulated light that is modulated into the target space, and photoelectric conversion that receives light including reflected light that is irradiated from the light source unit and reflected from the surface of the target object in the target space and converts the light into charges. A sensor unit having an element for each of a plurality of pixels, a plurality of charge storage units provided for each of the photoelectric conversion elements, and a charge converted by the photoelectric conversion element in synchronization with modulation of the modulated light An object detection method in an object detection device comprising a charge distribution unit that distributes to a charge storage unit, wherein the accumulated charge of the plurality of charge storage units is subjected to arithmetic processing to obtain a calculated distance value for each pixel, A calculation distance image generation step of generating a calculation distance image having a calculation distance value as a pixel value; a correction step of subtracting a reference image held in advance from the calculation distance image to obtain a correction distance image; and the correction A filter parameter determining step for determining, for each pixel, a filter parameter used for smoothing according to the pixel value of the target object of the separated image and the size information of the target object held in advance; There is provided an object detection method comprising: a smoothing step of applying a parameter filter to obtain a smoothed distance image; and an object detecting step of detecting the presence or absence of an object using the smoothed distance image. .

  According to the present invention, in a distance image generation apparatus using a time-of-flight distance image sensor, it is possible to obtain a highly accurate distance value for a detection target object whose size is known, and to improve detection accuracy.

It is a block diagram of the distance image generation device of a first embodiment. It is explanatory drawing for demonstrating the relationship between the modulation signal of 1st embodiment, and a gate signal. It is explanatory drawing for demonstrating the principle of the distance image generation by the optical time-of-flight distance image generation apparatus. It is explanatory drawing for demonstrating the filter example of 1st embodiment. (A) And (b) is explanatory drawing for demonstrating the example of the distance image which acquired the same object in different distance. (A) And (b) is explanatory drawing for demonstrating the example which applied the spatial filter of the same size to the image shown to Fig.5 (a) and (b), respectively. It is explanatory drawing for demonstrating the pixel number calculation method of the object of a known magnitude | size of 1st embodiment. (A)-(c) is explanatory drawing for demonstrating the example of the spatial filter of 1st embodiment. (A)-(c) is explanatory drawing for demonstrating the example of a distance image obtained by imaging the same moving object at different time. It is explanatory drawing for demonstrating the example of a distance image obtained by applying the filter of 1st embodiment. It is explanatory drawing for demonstrating the flow of the distance image generation process of 1st embodiment, and an object detection process. (A) is a reference image example of the second embodiment, (b) is a calculated distance image example of the second embodiment, (c) is a corrected distance image example of the second embodiment, It is explanatory drawing for demonstrating each. It is a block diagram of the distance image generation device of a second embodiment. It is explanatory drawing for demonstrating the flow of the distance image generation process of 2nd embodiment, and an object detection process.

<< First Embodiment >>
Hereinafter, a first embodiment of the present invention will be described. Hereinafter, in all the drawings for explaining the embodiments of the present invention, those having the same function are denoted by the same reference numerals, and repeated explanation thereof is omitted.

[Distance image generation object detection device configuration]
First, the configuration of a distance image generation object detection apparatus that generates a distance image and detects an object according to the present embodiment will be described. FIG. 1 is a functional block diagram of the distance image generation object detection device 100 of the present embodiment.

  As shown in the figure, the distance image generation object detection device 100 of the present embodiment generates a distance image using the phase difference between the irradiated modulated light 111 and the incident light 112, and includes a light source unit 110, A photoelectric conversion unit (sensor) 120, a charge distribution unit 130, a control unit 140, a charge storage unit 150, a distance image generation unit 170, and an object detection unit 180 are provided.

  The light source unit 110 includes a light source that irradiates the target space with modulated light (for example, infrared light or visible light modulated at high speed with a sine wave or a rectangular wave) according to control of the control unit 140 described later. A device capable of high-speed modulation such as an LED is used as the light source.

  The photoelectric conversion unit (sensor) 120 reflects the reflected light, which is reflected from the object (object) 113 in the target space (the field of view of the distance image generation object detection device 100) of the modulated light 111 emitted from the light source of the light source unit 110. Light (incident light) 112 is received and converted into electric charges. The sensor 120 includes a plurality of photoelectric conversion elements that convert charges according to the amount of received light. This photoelectric conversion element forms a pixel. Therefore, each photoelectric conversion element may be provided with a lens in front of the photoelectric conversion unit 120 that is regularly arranged in association with each pixel of the luminance image and the distance image.

  The charge distribution unit 130 distributes the charge converted by the sensor 120 to the charge storage unit 150 (to be described later) under the control of the control unit 140 (to be described later). The sorting is performed for each photoelectric conversion element.

  The charge storage unit 150 stores the charge distributed by the charge distribution unit 130. The phase difference between the modulated light 111 and the incident light 112, which is distance information, is calculated using the charge (accumulated charge) accumulated in the charge accumulation unit 150. In order to calculate this phase difference, at least three pieces of phase information (accumulated charges) are required.

  The acquisition of three or more pieces of phase information may be realized by one charge storage unit 150 or may be realized by a plurality of charge storage units 150. Hereinafter, in this embodiment, a specific example will be described assuming that there are four charge storage units 150. This set of four charge storage units 150 is provided for each pixel.

  One or more charge storage units 150 that acquire phase information are provided for each pixel (photoelectric conversion element). Therefore, hereinafter, in this specification, an image having the accumulated charge accumulated in each charge accumulation unit 150 as a pixel value is referred to as an accumulated charge image.

  The charge storage unit 150 may store the charge itself, or may store data after AD conversion of this charge amount. Hereinafter, in the present embodiment, what is stored in the charge storage unit 150 without distinction between the charge itself and the data after AD conversion is referred to as stored charge.

  The control unit 140 controls the light source unit 110 and the charge distribution unit 130 in synchronization. Control is performed by the modulation signal and the gate signal.

  The modulation signal is a signal that instructs modulation and output timing of the modulated light, and is output toward the light source unit 110. The light source unit 110 generates modulated light 111 modulated by the modulation signal and irradiates the target space. The irradiated modulated light 111 is reflected by the object 113 and becomes reflected light. The reflected light enters the sensor 120 as incident light 112, is converted into electric charge, and is sent to the charge distribution unit 130.

  The gate signal is a signal for instructing the charge distribution to each charge storage unit 150 and is output toward the charge distribution unit 130. The charge distribution unit 130 distributes the charge to each charge storage unit 150 according to the gate signal.

  The control unit 140 generates a gate signal that is synchronized with the modulation period of the light source unit 110 and is shifted by a time corresponding to the modulation period and the number of the charge distribution units 130. For example, if the modulation period is 10 MHz and there are four charge storage units, the gate signal is generated at a timing that is shifted by a time (25 ns) obtained by dividing the modulation period into four. As a result, the charge is distributed to each charge storage unit 150 in accordance with the gate signal.

  An example of the output timing of the modulation signal and the gate signal of this embodiment is shown in FIG. Here, the modulation signal 114 and the gate signal 115 in the case where charges are sequentially distributed to the four charge storage units 150 in a period obtained by dividing one period Tq of the modulation signal into four equal parts are shown.

  In addition, the control unit 140 transmits a read signal to the distance image generation unit 170 to read out the accumulated charges accumulated in the charge accumulation unit 150. Note that the modulation frequency of the modulated light 111 is several tens of MHz. Therefore, one modulation period is about several tens of ns. In order to obtain a distance image, a charge accumulation time of several hundred to several hundred thousand cycles is required.

  The control unit 140 according to the present embodiment outputs a read signal so that the distance image generation unit 170 reads the accumulated charge from the charge accumulation unit 150 at each charge accumulation time Tf. One distance image obtained at every charge accumulation time Tf interval is called a frame. The charge accumulation time Tf is referred to as 1 frame time Tf.

  The modulated signal 114, the gate signal 115, and the readout signal are collectively referred to as a control signal.

  The distance image generation unit 170 reads the accumulated charges accumulated in each charge accumulation unit 150 according to the readout signal of the control unit 140, calculates a distance value for each pixel from each accumulated charge, and uses the calculated distance value as a pixel value. Generate a distance image. The distance value is a value of the distance to the object 113 in the visual field. Details of the calculation will be described later.

  The object detection unit 180 detects the presence or absence of the object 113 having a known size on the distance image generated by the distance image generation unit 170, and outputs the result. Details of the detection will be described later.

[Principle of TOF type distance image generation]
Here, the principle of distance image generation in the time-of-flight (TOF method) distance image generation object detection device 100 will be described. FIG. 3 is a diagram for explaining the principle of distance image generation.

  When the intensity of the modulated light 111 emitted from the light source unit 110 changes to draw a sinusoidal curve as shown in the figure, the intensity of the incident light 112 to the sensor 120 also changes to draw a sinusoidal curve. At this time, the modulated light 111 and the incident light 112 have a phase delay (phase difference φ) due to the time of flight of the light traveling back and forth to the object.

Since the speed c of light is known, the calculated distance value D to the object is calculated by the following equation (1) using the phase difference φ and the modulation frequency f.

  Therefore, if the phase difference φ is known, the calculated distance value D can be obtained. In the present embodiment, one period Tp of the modulated light is divided into four equal parts, and the charge amount is accumulated in the four charge accumulation units 150 in each period.

The phase difference φ between the modulated light 111 and the incident light 112 is defined as Tq (T1, T2, T3, T4) for each period obtained by dividing one period of the modulated light 111 into four equal parts. When the accumulated charge amounts are C1, C2, C3, and C4, they are expressed by the following equation (2).
Each period Tq (T1, T2, T3, T4) obtained by dividing one period Tp into four is, for example, between 0 degrees and 90 degrees, between 90 degrees and 180 degrees, between 180 degrees and 270 degrees, Between 270 degrees and 0 degrees. In the above, C1 is the amount of charge accumulated between 0 degrees and 90 degrees, C2 is the amount of charges accumulated between 90 degrees and 180 degrees, C3 is the amount of charges accumulated between 180 degrees and 270 degrees, C4 is the amount of charge accumulated between 270 degrees and 0 degrees.

[Distance image generator]
The distance image generation unit 170 uses the charge amounts C1, C2, C3, and C4 accumulated at the above-described charge accumulation time Tf interval to obtain the phase difference φ for each pixel according to the equation (2). Then, a calculated distance value D to the object 113 is obtained according to the equation (1) using the obtained phase difference φ.

  In the present embodiment, an object is to detect a specific object 113 using a distance image. However, as described above, in the TOF type sensor, the obtained distance value varies depending on the distance between the light source unit 110 and the object 113, the surface state of the object 113, and the like. In order to correct this and increase the accuracy of the distance value of the object 113, smoothing is performed using a filter (spatial filter and time filter).

  The distance image generation unit 170 of this embodiment determines an optimal filter size in order to enhance the smoothing effect and increase the accuracy of the distance value of each pixel obtained as a result. The filter size is determined using a calculated distance image having the calculated distance value D as a pixel value. Then, the filter having the optimum size is applied to the calculated distance image to be smoothed, and the smoothed calculated distance image is output. It is assumed that the size of the object 113 is known.

  In order to implement the above processing, the distance image generation unit 170 of the present embodiment includes a calculation distance image generation unit 171, a filter parameter determination unit 172, and a smoothed image generation unit 173, as shown in FIG. .

[Calculated distance image generator]
The calculated distance image generation unit 171 performs calculation processing on the accumulated charges accumulated in the plurality of charge accumulation units 150, obtains a calculated distance value for each pixel, and generates a calculated distance image using the calculated distance value as a pixel value. . In the present embodiment, the calculated distance value is calculated for each frame time Tf using the above equation (1).

[Filter parameter determination unit]
The filter parameter determination unit 172 determines a filter parameter for smoothing for each pixel according to the calculated distance value of the object 113 in the calculated distance image and the information on the size of the object 113 held in advance. Hereinafter, in this specification, the number of pixels for displaying the object 113 on the image is referred to as the number of occupied pixels.

  In the present embodiment, a case where a three-dimensional filter combining a two-dimensional spatial filter 321 and a one-dimensional temporal filter 322 shown in FIG. 4 is used as an example will be described. FIG. 4 illustrates a three-dimensional filter 323 in which a 3 × 3 pixel spatial filter 321 and a three-frame temporal filter 322 are combined. In the following description, the number of pixels of the spatial filter 321 and the number of frames of the temporal filter 322 are referred to as sizes.

  In the present embodiment, parameters (size (number of pixels) and coefficient) of the spatial filter 321 and parameters (size (number of frames) and coefficient) of the temporal filter 322 are determined. The filter parameter determination unit 172 first determines the size, and then determines each coefficient. Hereinafter, the determination method will be described.

[Filter parameter determination method]
Next, details of a filter parameter determination method by the filter parameter determination unit 172 of the present embodiment will be described.

[Spatial filter]
First, it will be described that the optimum size (number of pixels) of the spatial filter 321 for smoothing the distance image varies depending on the distance from the sensor 120 if the object 113 is the same.

  5A and 5B are distance images 200a and 200b obtained by imaging the same object 113 at different distances using the distance image generation object detection device 100. FIG. Here, it is assumed that the sensor 120 of the distance image generation object detection device 100 is installed vertically downward from the ceiling. The object 113 is an upright person. 5A and 5B show a head region 201 and a shoulder region 202. FIG. Here, the closer the distance, the whiter, and the farther the distance, the black.

  In the distance image 200a and the distance image 200b, since the distance between the object 113 and the sensor 120 is different, the size of the same object 113 on the image is also different. That is, in the distance image, even for the same object 113, the number of pixels occupied on the distance image (the number of occupied pixels) varies depending on the distance from the sensor 120.

  For example, the horizontal angle of view and the vertical angle of view of the sensor 120 are each set to 60 degrees. Assume that the number of pixels of the sensor 120 is 128 × 128 pixels, and the size of the human head is 15 cm in diameter. When the object 113 is at a distance of 1 m from the sensor 120, the head region 201 on the image appears in a size of about 217 pixels. That is, the number of pixels for displaying the head region 201 on the image is about 217 pixels. On the other hand, when the object 113 is at a distance of 2 m from the sensor 120, the head region 201 on the image appears in a size of about 54 pixels. That is, the number of pixels for displaying the head region 201 on the image is about 54 pixels.

  Here, it is assumed that a spatial filter 321 having a size of 200 pixels is applied to each of the distance image 200a and the distance image 200b.

  As shown in FIG. 6A, when the object 113 is at a distance of 1 m, since the head region 201 is about 217 pixels, the spatial filter 321 is smaller than the head region 201, and the distance of the head region 201 Filter results can be obtained without loss of information.

  On the other hand, as shown in FIG. 6B, when the object 113 is at a distance of 2 m, the head region 201 is about 54 pixels, so the spatial filter 321 is larger than the head region 201. Therefore, since the head area 201 and the surrounding area are also smoothed, the distance information of the head area 201 disappears.

  Thus, if the spatial filter 321 is not set to a size substantially equal to that of the object 113 on the distance image, the noise reduction effect is reduced, or even the background in the vicinity is smoothed, and the distance information is lost. I'm sorry. Therefore, a size that matches the number of pixels that the object 113 occupies in the distance image is optimal. Even for the same object 113, the optimum size of the applied spatial filter 321 differs because the number of pixels displayed on the distance image differs depending on the distance from the sensor 120. That is, if the object 113 of the same size is the target, the optimum size of the spatial filter 321 increases as the distance value decreases.

  First, the filter parameter determination unit 172 of the present embodiment calculates the number of pixels (occupied pixels) in the distance image of the object 113 to be imaged based on the calculated distance value. Then, the optimum size of the spatial filter 321 is determined. It is assumed that the size of the object 113 is known.

In the distance image generation object detection device 100, the angle of view θ and the focal length F of the light receiving lens are known. FIG. 7 shows the relationship between the length (actual length) a of the actual object 113 in a predetermined direction and the length (occupied pixel number) p on the calculated distance image. From the actual length a, the occupied pixel count p is calculated. It is a figure for demonstrating the method to calculate. Here, the calculated distance value is D, and the focal length of the distance image generation object detection apparatus 100 is F. The number of occupied pixels p on the calculated distance image of the object 113 of the actual length a is expressed by the following formula (3).
p = a / ((D−F) / F) (3)

  The filter parameter determination unit 172 according to the present embodiment uses the calculated distance value D, the size a of the object 113 in the predetermined direction and the direction orthogonal to the direction, and the focal length F according to the equation (3). By calculating and multiplying the number of pixels p in both directions of the object 113, the area (number of occupied pixels) of the object 113 on the distance image is calculated.

  The filter parameter determination unit 172 determines the optimum size (number of pixels) of the spatial filter 321 from the number of occupied pixels. As described above, in this embodiment, the size substantially equal to the number of occupied pixels is optimal, and thus this size (number of occupied pixels) is determined as the size of the spatial filter 321. Then, after determining the size, the coefficient is determined.

  Examples of the spatial filter 321 include an averaging filter and a weighting filter. In the present embodiment, as will be described later, since the purpose is to vary the size (number of pixels) and the coefficient of the spatial filter 321 depending on the distance of the object 113, the type of filter is not limited.

  An example of the spatial filter 321 is shown in FIGS. FIG. 8A shows an example of a 3 × 3 pixel averaging filter 321a, FIG. 8B shows an example of a 3 × 3 pixel weighting filter 321b, and FIG. It is an example of the averaging filter 321c of x5 pixels.

  After determining the size of the spatial filter 321, the filter parameter determination unit 172 determines each coefficient. In the averaging filters 321a and 321c, the coefficient is set to the same value in each pixel constituting the spatial filter 321.

  On the other hand, the weighting filter 321b has different coefficients for each pixel constituting the spatial filter 321. The weighting filter 321b is set according to a predetermined rule. At this time, it is desirable to set the value of each spatial filter 321 so that the distribution of value weighting in the spatial filter is constant regardless of the size of the spatial filter 321.

  For example, when using an averaging filter, as shown in FIG. 5A, when the calculation distance to the object 113 is 1 m, the size is determined to be 5 × 5 pixels. As shown in FIG. On the other hand, as shown in FIG. 5B, when the calculation distance to the object 113 is 2 m, the size is determined to be 3 × 3 pixels. 1/9.

  In addition, regarding the type of the spatial filter 321, different types of spatial filters 321 may be used depending on the distance.

[Time filter]
Next, it will be described that the optimum size (number of frames) of the time filter 322 for smoothing the distance image varies depending on the distance from the sensor 120 if the object 113 is the same (the speed is also the same).

  9 (a), 9 (b), and 9 (c) show three temporally consecutive frames when the object 113 is moving in the same environment as FIG. 5 (a). Distance images 210a, 210b, and 210c. Here, the object 113 is moving from the upper side to the lower side of the distance image.

  For example, in the above-described sensor 120 having a horizontal field angle and a vertical field angle of 60 degrees and a pixel number of 128 × 128 pixels, the object 113 having a diameter of 15 cm and moving in the horizontal direction at a speed of 1.0 km / h at a frame rate of 30 fps. Assuming that In the following, the distance between the sensor 120 and the object 113 is a distance when the object 113 comes into the field of view of a pixel near the center of the image.

  The number of frames until the object 113 reaches and passes through an imaging field of an arbitrary pixel (hereinafter referred to as a target pixel) (horizontal address x, vertical address y) is 1 m when the distance from the sensor 120 to the object 113 is 1 m. The number of frames is 4.25. Moreover, when the same distance is 3 m, it becomes 3.76. Therefore, the optimal size of the time filter 322 is 4 frames when the distance is 1 m, and 3 frames when the distance is 3 m.

  In this way, even when the same object 113 is moving in the same direction at the same speed, the number of pixels occupied on the distance image of the object 113 differs depending on the distance of the object 113 from the sensor 120. For this reason, the optimal number of frames of the time filter 322 differs accordingly.

  Since the imaging range (imaging field of view) of the sensor 120 is known, if the size, distance, moving speed, and frame rate of the object 113 are known, the period during which the object 113 exists in the imaging field of the pixel, That is, the number of frames can be calculated.

Specifically, the number of frames n until an object 113 reaches and passes through an imaging field of an arbitrary pixel (hereinafter referred to as a target pixel) (horizontal address x, vertical address y) is expressed by the following equation (4) and Calculated by equation (5).
Here, W is the size (m) of the object 113, D is the calculated distance (m) to the object 113, x is the horizontal address of the target pixel, Θ is the angle of view (deg) of the sensor 120, and N is the number of occupied pixels. , V is the moving speed (m / s) of the object 113, and f is the frame rate (f / s). The one with the subscript H means the horizontal direction component (the horizontal direction of the image). Also, the one with the subscript V means the vertical direction component (vertical direction of the image).

The filter parameter determination unit 172 according to the present embodiment uses the size, the moving speed, and the calculated distance value of the object 113, the angle of view of the sensor, the number of occupied pixels, and the frame rate, and the above equations (4) and ( According to 5), the number of horizontal frames _nH and the number of vertical frames _nV are calculated. The smaller value of the calculated n _H and n _V is set as the optimum size (number of frames) of the time filter 322.

  The filter parameter determination unit 172 determines the coefficient after determining the optimum size of the time filter 322.

When a pixel value of a predetermined pixel of a distance image acquired at a predetermined time t is P (t) and a time filter 322 having a size of n frames is applied, the pixel value P ′ (t) of the pixel after smoothing Is represented by the following number (6).
Here, ti is the time when the distance image i frames before is acquired from the distance image acquired at time t, and F (t) is the coefficient of the time filter 322 applied to the distance image acquired at time t. It is.

  Examples of the time filter 322 include an averaging filter and a weighting filter. In the present embodiment, as will be described later, the purpose is to vary the size (number of applied frames) of the time filter 322 according to the size and speed of the object 113 and the distance to the object 113, and the type of filter is not limited. Absent.

  Similar to the spatial filter 321, the averaging filter is a temporal filter 322 having the same coefficient for each frame. The weighting filter is a filter that assigns a different coefficient to each frame.

  For example, in the time filter 322 of the above equation (6), for example, if n = 3, (F (t), F (t−1), F (t−2)) = (1/3, 1/3) , 1/3) is an averaging filter, and (F (t), F (t-1), F (t-2)) = (5/9, 3/9, 1/9). If there is, it becomes a weighting filter.

  The filter parameter determination unit 172 sets each coefficient as the same if it is an averaging filter. On the other hand, in the case of a weighting filter, it is set according to a predetermined rule. At this time, it is desirable to set the value of each time filter 322 so that the distribution of weighting of values in the time filter 322 is constant regardless of the number of frames of the time filter 322.

  For example, when using an averaging filter, if the distance to the object 113 is 1 m, the optimum size is determined to be 4 frames. Therefore, the filter coefficients are (F (t), F (t-1), F (t-2), F (t-3)) = (1/4, 1/4, 1/4, 1 / 4). On the other hand, when the distance to the object 113 is 3 m, the optimum size is determined as 3 frames. Therefore, the filter coefficient is determined as (F (t), F (t-1), F (t-2)) = (1/3, 1/3, 1/3).

[Smoothed image generator]
The smoothed image generation unit 173 applies the determined parameter filters (spatial filter 321 and temporal filter 322) to obtain a smoothed distance image. In the present embodiment, the filter is applied to a calculated distance image having a calculated distance value as a pixel value and smoothed. The distance image generation unit 170 outputs the calculated distance image smoothed by the smoothed image generation unit 173 as a smoothed distance image.

[Filter application example]
FIG. 10 shows the optimum time parameters determined by the filter parameter determination unit 172 of the present embodiment for the time-sequential distance images 210a, 210b, and 210c of FIGS. 9A, 9B, and 9C. A distance image (smoothed distance image) 220 after applying the parameter spatial filter 321 and the time filter 322 is shown.

  In general, by applying the spatial filter 321 and smoothing, the distance between the edge portions of the region is mixed with the distance value of the surrounding region, resulting in a blurred image. Furthermore, by applying the time filter 322, an image having a tail in the moving direction of the object is obtained. However, in the present embodiment, the parameters of the spatial filter 321 and the temporal filter 322 are set to values corresponding to the size, distance, and speed of the object 113 as described above, and are set to different values for each pixel.

  Thereby, for example, the central pixel of the head region 201 is smoothed using only the pixels in the head region 201. Accordingly, smoothing can be performed without being affected by the distance of the region other than the head region 201 such as the floor, and the smoothing effect can be obtained to the maximum. That is, the variation in distance is reduced by the filter effect. Therefore, the distance of the object 113 can be acquired with high accuracy.

[Object detection unit]
Next, the object detection unit 180 will be described. The object detection unit 180 detects the object 113 having a known size on the smoothed distance image 220.

  The smoothed distance image 220 subjected to the spatial filter 321 and the time filter 322 is not an image that accurately represents the shape of the object 113 as shown in FIG. However, in the present embodiment, as described above, according to the calculated distance value, that is, according to the number of pixels occupied by the object 113 on the smoothed distance image 220, the spatial filter 321 and the temporal filter having optimum parameters. 322 is applied. For this reason, an accurate distance value can be obtained particularly in the center of the object 113. Therefore, the object detection unit 180 according to the present embodiment detects the object using the distance value of this region as the accurate distance value of the object.

  Specifically, the object detection unit 180 determines the presence or absence of the object 113 based on the presence or absence of extreme values on the smoothed distance image 220. That is, an extreme value is detected, and if there is an extreme value, it is determined that the object 113 is present. When it is determined that the object 113 is present, the distance value of the pixel taking the extreme value is set as the distance value of the object 113.

  In the example of FIG. 10, since the distance between the sensor 120 and the object 113 is closer than the distance between the sensor 120 and the background, the object detection unit 180 has a minimum value (local value) on the smoothed distance image 220. ) To detect an object. Further, the distance value of the minimum value is set as the distance value of the object 113.

  In addition, when acquiring the exact shape of the object 113, the pixel detected with the object 113 by the object detection unit 180, that is, the pixel having a distance value similar to the distance value of the pixel having the minimum value, is applied before the filter is applied. Extract from the distance image. For the pixel to be extracted, for example, a threshold value is determined in advance, and the difference from the minimum value is a pixel within the threshold value.

  Thereby, the shape of an object with a clear edge can be acquired accurately.

  FIG. 11 shows the flow of distance image generation processing and object detection processing by the distance image generation unit 170 of the present embodiment.

  As shown in the figure, the distance image generation unit 170 according to the present embodiment generates an accumulated charge image with the accumulated charges (C1, C2, C3, C4) accumulated in the charge accumulation units 150 as pixel values, respectively. It is generated for each charge storage unit 150 (step S1101). Here, four stored charge images are generated.

  The distance image generation unit 170 converts the accumulated charge image by the accumulated charge C1 into the first accumulated charge image IC1, the accumulated charge image by the accumulated charge C2 as the second accumulated charge image IC2, and the accumulated charge image by the accumulated charge C3 as the third accumulated image. Assuming that the accumulated charge image IC3 and the accumulated charge image by the accumulated charge C4 are the fourth accumulated charge image IC4, the first accumulated charge image IC1 and the third accumulated charge image IC3 according to the above equation (2). The difference accumulated charge image DI1 and the difference accumulated charge image DI2 between the second accumulated charge image IC2 and the fourth accumulated charge image IC4 are calculated (steps S1102 and S1103).

  Thereafter, the calculated distance image generation unit 171 calculates the calculated distance value according to the equations (2) and (1) using the pixel values of the difference accumulated charge images DI1 and DI2, and calculates the calculated distance image DD ( Step S1104).

  Then, the filter parameter determination unit 172 determines the parameters of the spatial filter 321 and the temporal filter 322 from the distance value of each pixel (step S1105).

  Then, the smoothed image generation unit 173 applies the determined spatial filter 321 and temporal filter 322 to the calculated distance image DD calculated in step S1104 to obtain a smoothed distance image FDD (step S1106).

  Then, the object detection unit 180 detects the object 113 by the above calculation on the smoothed distance image FDD (step S1107).

  Note that the distance image generation object detection device 100 of the present embodiment includes a CPU, a memory, and a storage device. The charge distribution unit 130, the control unit 140, the distance image generation unit 170, and the object detection unit 180 are realized by a CPU loading a program stored in a storage device in advance into a memory and executing the program.

  In the distance image generation object detection device 100 of the present embodiment, the object detection unit 180 may be configured independently. That is, a distance image generation device including a light source unit 110, a photoelectric conversion unit (sensor) 120, a charge distribution unit 130, a control unit 140, a charge storage unit 150, and a distance image generation unit 170, and an object A configuration independent of the object detection device including the detection unit 180 may be used. In this case, the distance image generation unit 170 and the object detection unit 180 are configured to be able to transmit / receive data to / from each other.

  As described above, the distance image generating apparatus according to the present embodiment includes the light source unit 110 including the light source that irradiates the modulated light in the target space, and the target object 113 in the target space that is irradiated from the light source unit 110. A sensor unit 120 that includes a plurality of pixels, each of which includes photoelectric conversion elements that receive light including reflected light reflected by the surface of the light and converts the light into charges; a charge storage unit 150 that is provided for each of the photoelectric conversion elements; In synchronization with the modulation of the modulated light, the charge distribution unit 130 that distributes the charges converted by the photoelectric conversion element to the plurality of charge storage units, and the accumulated charges stored in the plurality of charge storage units 150 are used. A distance image generation unit 170 that generates a distance image whose pixel value is a distance value, and the distance image generation unit 170 performs arithmetic processing on the accumulated charges of the plurality of charge accumulation units 150. To obtain a calculated distance value for each pixel and generate a calculated distance image having the calculated distance value as a pixel value, a calculated distance value of the object 113 in the calculated distance image, and pre-stored A filter parameter determining unit 172 that determines, for each pixel, a filter parameter used for smoothing according to information on the size of the target object 113, and a value after smoothing by applying the filter of the determined parameter. And a smoothed image generation unit 173 that obtains a smoothed distance image having a pixel value as the pixel value, and the smoothed distance image is the distance image. Then, the smoothed image generation unit 173 applies the filter to the calculated distance image.

  Thus, according to the present embodiment, the optimum filter parameter for each pixel is determined according to the distance value obtained by calculation. The parameter filter is applied to the calculated distance image to obtain a smoothed distance image. In the present embodiment, the distance image is corrected by applying a filter having an optimum parameter according to the number of pixels occupied by the detection target object 113 on the distance image. The range image is optimal for object detection with reduced variation.

  Therefore, according to the present embodiment, since the object 113 is detected on such a distance image, the object 113 can be detected with high accuracy using a time-of-flight distance image sensor.

<< Second Embodiment >>
Next, a second embodiment of the present invention will be described. In the first embodiment, the optimum filter parameter for detecting the known object 113 is determined based on the calculated distance image. In this embodiment, a filter parameter is determined using a corrected distance image obtained by removing information such as the background from the calculated distance image.

  Prior to description of each part, an outline of the present embodiment will be described. In the present embodiment, only information such as the background is stored as a reference image, and the reference image is subtracted from the calculated distance image obtained by imaging to obtain a corrected distance image excluding the background. Then, filter parameters are determined using the corrected distance image, smoothed, and an object is detected.

  FIG. 12A is an example of the reference image 400. This is a reference image 400 when the inside of a predetermined room is an imaging visual field and the uneven portion 116 is present in the floor area as the background. FIG. 12B is an example of the calculated distance image 410 when the object 113 enters the background environment having the uneven portion 116. FIG. 12C shows an image 420 (referred to as a corrected distance image) obtained by subtracting the reference image 400 from the calculated distance image 410.

  Even if an optimal filter is applied, if an object is detected with an image obtained by smoothing the calculated distance image 410, the object detection unit 180 may detect both the object 113 and the concavo-convex part 116 as objects. is there.

  Background information is known. Therefore, in the present embodiment, the reference image 400 that is background information is obtained by performing shooting in the absence of the object 113 in advance. Then, every time the calculated distance image generation unit 171 calculates the calculated distance value and obtains the calculated distance image 410, the difference from the reference image 400 is taken to obtain the corrected distance image 420.

  As shown in FIG. 12C, the correction distance image 420 is obtained by removing the uneven portion 116 of the background information. In the present embodiment, a distance image in which the object 113 can be detected more easily is obtained by using the corrected distance image 420 excluding this background information in the subsequent filter size determination processing and smoothing processing.

  The configuration of the distance image generation object detection device 100a of this embodiment is basically the same as that of the first embodiment. However, as described above, in this embodiment, a corrected distance image obtained by removing information such as the background from the calculated distance image is used for the determination of the filter parameter and the smoothing process. For this reason, as shown in FIG. 13, the distance image generation unit 170 a of this embodiment further includes a reference image storage unit 174 and a corrected distance image generation unit 175. Also, the functions of the filter parameter determination unit 172 and the smoothed image generation unit 173 are slightly different.

[Reference image storage]
The reference image storage unit 174 stores background information of the imaging field of view of the distance image generation object detection device 100 as a reference image 400. As described above, the background information is a distance image in the imaging field of view other than the object 113 to be detected by the distance image generation object detection device 100. The reference image is captured and stored in advance in the absence of the object 113.

  In the present embodiment, the reference image storage unit 174 is constructed in a storage device, a memory, or the like included in the distance image generation object detection device 100a.

  The corrected distance image generation unit 175 subtracts the reference image 400 from the calculated distance image 410 generated by the calculated distance image generation unit 171 to obtain a corrected distance image 420. The corrected distance image 420 is an image obtained by removing background information from the calculated distance image 410.

  The filter parameter determination unit 172 sets the parameters of the filter used for smoothing for each pixel according to the correction distance value, which is each pixel value of the correction distance image 420, and the size of the object 113, instead of the calculation distance image 410. decide. The type of filter to be used and the method for determining parameters are the same as in the first embodiment.

  The smoothed image generation unit 173 applies the determined parameter filters (spatial filter 321 and temporal filter 322) to obtain a smoothed distance image. In the present embodiment, the filter is applied to the corrected distance image 420 instead of the calculated distance image 410 and smoothed. The distance image generation unit 170 outputs the corrected distance image smoothed by the smoothed image generation unit 173 as a smoothed distance image.

  The processing of the object detection unit 180 is the same as in the first embodiment. However, the smoothed distance image used when the object detection unit 180 of the present embodiment detects an object is a smoothed corrected distance image 420 from which background information is removed as described above.

  FIG. 14 shows the flow of distance image generation processing and object detection processing by the distance image generation unit 170a of the present embodiment.

  As shown in the figure, the distance image generation unit 170a of the present embodiment generates an accumulated charge image with the accumulated charges (C1, C2, C3, C4) accumulated in the charge accumulation units 150 as pixel values, respectively. It is generated for each charge storage unit 150 (step S2101). Here, four stored charge images are generated.

  The distance image generation unit 170a converts the accumulated charge image by the accumulated charge C1 into the first accumulated charge image IC1, the accumulated charge image by the accumulated charge C2 as the second accumulated charge image IC2, and the accumulated charge image by the accumulated charge C3 as the third accumulated image. Assuming that the accumulated charge image IC3 and the accumulated charge image by the accumulated charge C4 are the fourth accumulated charge image IC4, the first accumulated charge image IC1 and the third accumulated charge image IC3 according to the above equation (2). The difference accumulated charge image DI1, and the difference accumulated charge image DI2 between the second accumulated charge image IC2 and the fourth accumulated charge image IC4 are calculated (steps S2102 and S2103).

  Thereafter, the calculated distance image generation unit 171 calculates the calculated distance image DD from the expressions (2) and (1) using the pixel values of the difference accumulated charge images DI1 and DI2 (step S2104).

  Next, the corrected distance image generation unit 175 subtracts the reference image REF from the calculated distance image DD to obtain a corrected distance image (CDD) (step S2105).

  Then, the filter parameter determination unit 172 determines parameters of the spatial filter 321 and the temporal filter 322 from each pixel value of the corrected distance image (step S2106).

  Then, the smoothed image generating unit 173 applies the determined spatial filter 321 and temporal filter 322 to the corrected distance image CDD calculated in step S2105 (step S2107) to obtain a smoothed distance image FDD.

  Then, the object detection unit 180 detects the object 113 by the above calculation on the smoothed distance image FDD (step S2108).

  Note that the distance image generation object detection device 100a of the present embodiment also includes a CPU, a memory, and a storage device. The charge distribution unit 130, the control unit 140, the distance image generation unit 170a, and the object detection unit 180 are realized by the CPU loading a program stored in advance in the storage device and executing it.

  In the distance image generation object detection device 100a of this embodiment, the object detection unit 180 may be configured independently. That is, a distance image generation device including a light source unit 110, a photoelectric conversion unit (sensor) 120, a charge distribution unit 130, a control unit 140, a charge storage unit 150, and a distance image generation unit 170, and an object A configuration independent of the object detection device including the detection unit 180 may be used. In this case, the distance image generation unit 170 and the object detection unit 180 are configured to be able to transmit / receive data to / from each other.

As described above, the distance image generation object detection device 100a of the present embodiment includes the light source unit 110 including the light source that irradiates the modulated light to the target space, and the target in the target space that is irradiated from the light source unit. A sensor unit 120 for each of a plurality of pixels that receives light including reflected light reflected by the surface of the object 113 and converts the light into a charge, and a charge storage unit 150 that is provided for each of the photoelectric conversion elements. The charge distribution unit 130 that distributes the charges converted by the photoelectric conversion elements to the plurality of charge storage units in synchronization with the modulation of the modulated light, and the accumulated charges stored in the plurality of charge storage units 150 And a distance image generation unit 170 that generates a distance image whose pixel value is a distance value, and the distance image generation unit 170 stores the accumulated charges of the plurality of charge accumulation units 150. A calculation distance value is generated for each pixel by performing arithmetic processing, a calculation distance image generation unit 171 that generates a calculation distance image using the calculation distance value as a pixel value, and a calculation distance value of the object 113 in the calculation distance image In addition, according to information on the size of the target object 113 held in advance, the filter parameter determination unit 172 that determines a filter parameter for smoothing for each pixel and the filter of the determined parameter are smoothed. A smoothed image generation unit 173 that obtains a smoothed distance image having a later value as a pixel value, and uses the smoothed distance image as the distance image.
The correction distance image generation unit 175 further generates a correction distance image by subtracting a reference image held in advance from the calculated distance image, and the filter parameter determination unit 172 includes a pixel of the target object of the correction distance image. The parameter is determined according to the value and the size information, and the smoothed image generation unit 173 applies the filter to the corrected distance image.

  Thus, according to this embodiment, the calculated distance image is smoothed using the filter parameter determined according to the distance value, as in the first embodiment. Therefore, a distance image optimal for object detection can be obtained, and an object is detected using the distance image, so that high detection accuracy can be obtained.

  Furthermore, according to the present embodiment, the correction distance image 420 excluding background information is used as an image used when determining filter parameters and an image to which the filter is applied. Then, an object is detected using the smoothed distance image obtained by smoothing the corrected distance image. Therefore, since the object 113 is detected on the image from which the background information is excluded, the object 113 can be detected with higher accuracy.

  Each of the above embodiments can be applied to, for example, detecting an intruder into a predetermined area, counting the number of persons passing through the predetermined area, and detecting the position and size of an object flowing through a factory line.

DESCRIPTION OF SYMBOLS 100: Distance image generation object detection apparatus, 100a: Distance image generation object detection apparatus, 110: Light source part, 111: Modulation light, 112: Incident light, 113: Object, 114: Modulation signal, 115: Gate signal, 116: Concavity and convexity Unit: 120: sensor 120: photoelectric conversion unit 130: charge distribution unit 140: control unit 150: charge storage unit 170: distance image generation unit 170a: distance image generation unit 171: calculation distance image generation 172: Filter parameter determination unit, 173: Smoothed image generation unit, 174: Reference image storage unit, 175: Correction distance image generation unit, 180: Object detection unit, 200a: Distance image, 200b: Distance image, 201: Head region, 202: Shoulder region, 210a: Distance image, 210b: Distance image, 210c; Distance image, 220: Smoothed distance image, 321: Spatial filter 321a: averaging filter, 321b: weighting filter, 321c: averaging filter, 322: time filter, 323: three-dimensional filter 400: reference image 410: calculating the distance image, 420: correction range image

Claims (8)

A light source unit including a light source that emits modulated light that is modulated into a target space;
Sensor units each including a plurality of pixels with photoelectric conversion elements that receive light including reflected light that is irradiated from the light source unit and reflected by the surface of the object in the target space, and converts the light into charges.
A plurality of charge storage portions provided for each photoelectric conversion element;
A charge distribution unit that distributes the charges converted by the photoelectric conversion elements to the plurality of charge storage units in synchronization with the modulation of the modulated light;
A distance image generation unit that generates a distance image whose pixel value is a distance value using accumulated charges accumulated in the plurality of charge accumulation units;
The distance image generation unit
A calculation distance image generation unit that performs calculation processing on the accumulated charges of the plurality of charge accumulation units to obtain a calculation distance value for each pixel, and generates a calculation distance image using the calculation distance value as a pixel value;
A filter parameter determining unit that determines, for each pixel, a parameter of a filter used for smoothing according to the calculated distance value of the object in the calculated distance image and the information of the size of the object to be held in advance;
A smoothed image generation unit that obtains a smoothed distance image using a value after smoothing by applying a filter of the determined parameter as a pixel value, and making the smoothed distance image the distance image. A featured distance image generation device. The distance image generating device according to claim 1,
The distance image generation device, wherein the smoothed image generation unit applies the filter to the calculated distance image. The distance image generating device according to claim 1,
A correction distance image generation unit that generates a correction distance image by subtracting a reference image stored in advance from the calculated distance image;
The filter parameter determination unit determines the parameter according to the pixel value and the size information of the target object of the correction distance image,
The smoothed image generation unit applies the filter to the corrected distance image. The distance image generating device according to any one of claims 1 to 3,
An object detection unit that detects the presence or absence of an object using the smoothed distance image. A light source unit that emits modulated light modulated into the target space;
A sensor unit that includes a photoelectric conversion element that receives light including reflected light that is irradiated from the light source unit and reflected by the surface of the object in the target space, and converts the light into electric charges for each of a plurality of pixels;
A plurality of charge storage portions provided for each photoelectric conversion element;
An object detection method in an object detection device comprising: a charge distribution unit that distributes the charge converted by the photoelectric conversion element to the plurality of charge storage units in synchronization with the modulation of the modulated light,
A calculation distance image generation step of performing calculation processing on the accumulated charges of the plurality of charge accumulation units to obtain a calculation distance value for each pixel, and generating a calculation distance image having the calculation distance value as a pixel value;
A filter parameter determining step for determining, for each pixel, a parameter of a filter used for smoothing according to the calculated distance value of the object in the calculated distance image and information on the size of the object to be held in advance;
A smoothing step of obtaining a smoothed distance image by applying a filter of the parameter to the calculated distance image;
An object detection step of detecting the presence or absence of an object using the smoothed distance image. A light source unit that emits modulated light modulated into the target space;
A sensor unit that includes a photoelectric conversion element that receives light including reflected light that is irradiated from the light source unit and reflected by the surface of the object in the target space, and converts the light into electric charges for each of a plurality of pixels;
A plurality of charge storage portions provided for each photoelectric conversion element;
An object detection method in an object detection device comprising: a charge distribution unit that distributes the charge converted by the photoelectric conversion element to the plurality of charge storage units in synchronization with the modulation of the modulated light,
A calculation distance image generation step of performing calculation processing on the accumulated charges of the plurality of charge accumulation units to obtain a calculation distance value for each pixel, and generating a calculation distance image having the calculation distance value as a pixel value;
A correction step of subtracting a reference image stored in advance from the calculated distance image to obtain a corrected distance image;
A filter parameter determining step for determining, for each pixel, a parameter of a filter used for smoothing in accordance with the pixel value of the target object of the correction distance image and information on the size of the target object held in advance;
A smoothing step of applying a filter of the parameter to the corrected distance image to obtain a smoothed distance image;
An object detection step of detecting the presence or absence of an object using the smoothed distance image. A light source unit including a light source that emits modulated light that is modulated into a target space;
A sensor unit that includes a photoelectric conversion element that receives light including reflected light that is irradiated from the light source unit and reflected by the surface of the object in the target space, and converts the light into electric charges for each of a plurality of pixels;
A plurality of charge storage portions provided for each photoelectric conversion element;
In a computer of an object detection device comprising: a charge distribution unit that distributes charges converted by the photoelectric conversion elements to the plurality of charge storage units in synchronization with the modulation of the modulated light,
A calculation distance image generating procedure for performing calculation processing on the accumulated charges of the plurality of charge accumulation units to obtain a calculation distance value for each pixel, and generating a calculation distance image using the calculation distance value as a pixel value;
A filter parameter determination procedure for determining, for each pixel, a filter parameter used for smoothing according to the calculated distance value of the object in the calculated distance image and information on the size of the object held in advance;
A smoothing procedure for obtaining a smoothed distance image by applying the filter of the parameter to the calculated distance image;
A program for executing an object detection procedure for detecting the presence or absence of an object using the smoothed distance image. A light source unit including a light source that emits modulated light that is modulated into a target space;
A sensor unit that includes a photoelectric conversion element that receives light including reflected light that is irradiated from the light source unit and reflected by the surface of the object in the target space, and converts the light into electric charges for each of a plurality of pixels;
A plurality of charge storage portions provided for each photoelectric conversion element;
In a computer of an object detection device comprising: a charge distribution unit that distributes charges converted by the photoelectric conversion elements to the plurality of charge storage units in synchronization with the modulation of the modulated light,
A calculation distance image generating procedure for performing calculation processing on the accumulated charges of the plurality of charge accumulation units to obtain a calculation distance value for each pixel, and generating a calculation distance image using the calculation distance value as a pixel value;
A correction procedure for subtracting a reference image stored in advance from the calculated distance image to obtain a corrected distance image;
A filter parameter determination procedure for determining, for each pixel, a filter parameter used for smoothing according to the pixel value of the target object of the correction distance image and the information on the size of the target object held in advance;
A smoothing procedure for obtaining a smoothed distance image by applying the filter of the parameter to the corrected distance image;
A program for executing an object detection procedure for detecting the presence or absence of an object using the smoothed distance image.