CN201247528Y - Apparatus for obtaining and processing image - Google Patents
Apparatus for obtaining and processing image Download PDFInfo
- Publication number
- CN201247528Y CN201247528Y CNU200820150434XU CN200820150434U CN201247528Y CN 201247528 Y CN201247528 Y CN 201247528Y CN U200820150434X U CNU200820150434X U CN U200820150434XU CN 200820150434 U CN200820150434 U CN 200820150434U CN 201247528 Y CN201247528 Y CN 201247528Y
- Authority
- CN
- China
- Prior art keywords
- image
- unit
- video
- treating apparatus
- color
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Lifetime
Links
- 238000012545 processing Methods 0.000 title abstract description 18
- 238000003384 imaging method Methods 0.000 claims abstract description 27
- 230000011218 segmentation Effects 0.000 claims description 23
- 238000005520 cutting process Methods 0.000 claims description 5
- 238000009826 distribution Methods 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 238000006243 chemical reaction Methods 0.000 claims description 2
- 230000010354 integration Effects 0.000 abstract description 2
- 238000000034 method Methods 0.000 description 11
- 230000008859 change Effects 0.000 description 8
- 230000006870 function Effects 0.000 description 7
- 238000012544 monitoring process Methods 0.000 description 7
- 230000008569 process Effects 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 5
- 238000005286 illumination Methods 0.000 description 5
- 230000000007 visual effect Effects 0.000 description 5
- 230000006835 compression Effects 0.000 description 4
- 238000007906 compression Methods 0.000 description 4
- 230000004438 eyesight Effects 0.000 description 4
- 238000009434 installation Methods 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 3
- 238000001514 detection method Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 230000033228 biological regulation Effects 0.000 description 2
- 230000000295 complement effect Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000012015 optical character recognition Methods 0.000 description 2
- 238000012706 support-vector machine Methods 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 230000003044 adaptive effect Effects 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000001815 facial effect Effects 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000014759 maintenance of location Effects 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 229910044991 metal oxide Inorganic materials 0.000 description 1
- 150000004706 metal oxides Chemical class 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
- 230000004304 visual acuity Effects 0.000 description 1
Images
Landscapes
- Traffic Control Systems (AREA)
- Image Processing (AREA)
- Image Analysis (AREA)
Abstract
An image acquisition and treatment device comprises an imaging unit, an analog-digital converting unit, a snapshot unit and an information acquisition unit. The imaging unit is used for taking video frequency images in a monitored area to generate corresponding analogous video stream; the analog digital converting unit is used for converting the analogous video stream into digital video stream; the snapshot unit is used for obtaining the current video frequency images from the digital video stream after receiving a triggering signal; and the information acquisition unit is used for processing the video frequency images obtained by the snapshot unit and obtaining vehicle information in the images. The image acquisition and treatment device achieves the integration of image acquisition and real time treatment.
Description
Technical field
The utility model relates to the traffic control system field, particularly relates to a kind of Image Acquisition and treating apparatus.
Background technology
Vehicle monitoring and register system are being played the part of important role in traffic monitoring, traffic administration, social security, play an important role aspect hypervelocity behavior and illegal activities, the deterrence offender hitting, can also deploy to ensure effective monitoring and control of illegal activities to escape vehicle, stolen vehicle and other inspection vehicle of robbing, improve the safe driving environment greatly, serve the social security management simultaneously.
At present, vehicle monitoring on the market and register system adopt the video camera that is installed on the track to vehicle photographic, then the analog picture signal of taking is sent to indoor industrial computer or image processing equipment by data communications equipment, utilizes industrial computer or image processing equipment that the video image that obtains is handled and stored.Usually, video camera need be connected with industrial computer by embedded integrated circuit board, perhaps is connected with image processing equipment by image pick-up card.
For example, application number is that the Chinese invention patent application of 200510027653.X discloses a kind of novel automatically collecting vehicle information system, being installed in outdoor video camera is sent to vision signal by data communications equipment and is installed in indoor embedded integrated circuit board, embedded integrated circuit board is handled vision signal, obtains information of vehicles and is stored to industrial computer by pci bus.
In existing vehicle monitoring and the register system, image acquisition and Flame Image Process are separate types, promptly be respectively to carry out in different equipment: video camera need be connected with industrial computer or image processing equipment by embedded integrated circuit board or image pick-up card, and the collection of video image is finished by video camera or image pick-up card; The processing of video image, for example mostly the calculating of the identification of car plate, Vehicle Speed is to carry out in embedded integrated circuit board or image processing apparatus.And video camera has only simple imaging function, thereby the vision signal that transmits substantially all is simulating signal, and transmission speed is slower.
The utility model content
The problem that the utility model solves is to provide a kind of Image Acquisition and treating apparatus, to realize the integrated of image acquisition and processing in real time.
For addressing the above problem, the utility model provides a kind of Image Acquisition and treating apparatus, comprising:
Image-generating unit is used to absorb the video image in the area to be monitored, produces the corresponding simulating video flowing;
Analog digital converting unit is used for converting the analog video stream that described image-generating unit produces to digital video frequency flow;
Capture the unit, be used for after receiving trigger pip, the digital video frequency flow of exporting from described analog digital converting unit obtains current video image;
Information acquisition unit is used for the video image that described candid photograph unit obtains is handled, and obtains the information of vehicles in the image.
Optionally, described trigger pip comprises the video trigger pip.
Optionally, described Image Acquisition and treating apparatus also comprise: the video trigger element, be used to analyze the digital video frequency flow that described analog digital converting unit produces, and when having detected vehicle, produce described video trigger pip.
Optionally, described video trigger element is gray scale, color and the edge texture at the video image of front and back frame when changing, and the different characteristic that detects at times in the video image detects whether vehicle is arranged.
Optionally, described video trigger element detected vehicle the time produce the video trigger pip and comprise: by day, output video trigger pip when the gray scale of black shade surpasses at the bottom of the car of setting the most black shadow thresholds in the video image; At night, output video trigger pip when the car light feature is arranged in the video image; At ambient lighting more weak dawn or dusk, output video trigger pip when the gray scale of black shade surpasses at the bottom of the corresponding car the most black shadow thresholds in the video image, the most black shadow thresholds is to judge it is dawn or dusk by the road surface brightness that detects in the video image at the bottom of the car of described correspondence, and selects to obtain corresponding to the most black shadow thresholds at the bottom of the car at dawn or dusk.
Optionally, described trigger pip comprises the wherein a kind of of coil trigger pip, infrared trigger pip and radar trigger pip.
Optionally, described information acquisition unit comprises: car plate recognition unit and/or color recognition unit, the car plate recognition unit, be used for by car plate location, the identification of car plate color, Character segmentation and character recognition, the video image that described candid photograph unit is obtained carries out the identification of license board information, obtains license plate binary image, car plate color and the number-plate number; The color recognition unit is used for by being partitioned into area-of-interest, and versicolor pixel number in the color of pixel, the statistics area-of-interest is carried out the identification of body color with the video image that described candid photograph unit is obtained in the identification area-of-interest.
Optionally, described car plate recognition unit comprises:
The car plate positioning unit is used to analyze the video image that described candid photograph unit obtains, and orients the license plate area that meets vehicle license plate characteristic, it is split from video image, and convert the license plate binary image to;
Car plate color recognition unit is used to analyze the license plate area that described car plate positioning unit is located, and identifies the car plate color;
The Character segmentation unit is used for the license plate area of described car plate positioning unit location is divided into single character;
Character recognition unit is used for the character that the Character segmentation unit is cut apart is discerned respectively, forms the number-plate number.
Optionally, described color recognition unit comprises:
The Region Segmentation unit is used for being partitioned into area-of-interest from the video image that described candid photograph unit obtains, and described area-of-interest is meant that field color can be used for representing certain specific region of the vehicle body of whole body color;
The color determining unit is used for discerning the area-of-interest of cutting apart described Region Segmentation unit and selectes versicolor pixel number in the color of pixel, the statistics area-of-interest, obtains to describe the proper vector of field color, to determine the area-of-interest color.
Optionally, described area-of-interest is car protecgulum zone.
Optionally, the result of the car plate of the described car plate recognition unit of described Region Segmentation unit by using location determines the position of vehicle body in the video image that described candid photograph unit obtains, and the areal distribution according to vehicle body is partitioned into car protecgulum zone again.
Optionally, described color recognition unit also comprises: the shade recognition unit, be used for discerning the shade of the selected pixel of the area-of-interest cut apart described Region Segmentation unit, and the statistical pixel point is assigned to the number of dark color, light color, to determine the shade of area-of-interest.
Optionally, described selected pixel is on the direction in described area-of-interest, the pixel that fixed interval quantity is selected.
Optionally, described Image Acquisition and treating apparatus also comprise: the imaging control module, be used to be adjusted to the picture controlled variable, and described imaging controlled variable is used to control the image quality of described image-generating unit.
Optionally, described imaging control module comprises:
Background luminance control image-generating unit is used to obtain the digital video frequency flow that described AD conversion unit produces, and adjusts the shutter value by the background luminance of analyzing in every frame video image;
Car plate brilliance control image-generating unit is used for adjusting the shutter value by the car plate brightness of analyzing in the described video image when the video image that the candid photograph unit obtains has vehicle license plate characteristic.
Optionally, the background luminance in the analysis video image passed through of described background luminance control image-generating unit is adjusted the shutter value and is comprised: calculate road surface brightness by brightness histogram, select the shutter value corresponding to road surface brightness.
Optionally, the car plate brightness in the analysis video image passed through of described car plate brilliance control image-generating unit is adjusted the shutter value and is comprised: calculate car plate brightness by medium filtering, turn the shutter value in car plate brightness in limited time down on greater than normal range, in car plate brightness less than transferring big shutter value under the normal range in limited time.
Optionally, described candid photograph unit after receiving trigger pip, obtain current video image before, also export the light filling control signal, to open external light compensating apparatus.
Optionally, described trigger pip comprises the hypervelocity trigger pip.
Optionally, described Image Acquisition and treating apparatus also comprise: the hypervelocity trigger element is used for producing described hypervelocity trigger pip when the Vehicle Speed that receives surpasses default speed limit.
Optionally, described image-generating unit comprises the ccd image sensor that 2,000,000 pixels are above.
Compared with prior art, technique scheme is integrated in image acquisition and processing in Image Acquisition and the treating apparatus, promptly by image-generating unit picked-up scene, trigger pip triggers the candid photograph unit and obtains the video image that includes vehicle, information acquisition unit is handled the described video image that obtains to obtain information of vehicles, realize Embedded image acquisition and processing in real time, thereby realized the integrated of imaging and Flame Image Process.
And, the collection of video image and processing are carried out in Image Acquisition and treating apparatus (front-end equipment), the information of vehicles of Image Acquisition and treating apparatus output is a digital signal, has therefore reduced the volume of transmitted data of Image Acquisition and treating apparatus effectively, has improved the transmission speed of data.
In addition, above-mentioned Image Acquisition and treating apparatus also have the following advantages:
(daytime, night, dawn, dusk) is fit to represent the feature of vehicle to judge whether that vehicle passes through the video trigger element under the different illumination conditions by detecting, thereby can detect the arrival of vehicle exactly, reduces the probability of false triggering with this.
Information acquisition unit also has the function of body color identification, and abundanter information of vehicles is provided.The area-of-interest that is used for body color identification can be a specific region of vehicle body, rather than complete vehicle body zone, so operand is little, fast operation; And being used to the pixel discerned in the area-of-interest can be the pixel that fixed interval quantity is selected, rather than all pixel in the area-of-interest, has so just further reduced operand, has improved arithmetic speed.
The imaging control module is for every frame video signal, and the image quality of the analog video stream of image-generating unit generation is adjusted in application background brightness in real time; When in the video image of capturing, vehicle license plate characteristic being arranged, use the image quality that the analog video stream of image-generating unit generation is adjusted in car plate brightness, make like this and capture the video image image quality height that the unit obtains, and license plate area is obvious in the image, helps improving the car plate identification of information acquisition unit and the accuracy that body color is discerned.
The hypervelocity trigger element is when Vehicle Speed surpasses default speed limit, produce the hypervelocity trigger pip, trigger the candid photograph unit with this and obtain the video image that includes over-speed vehicles, information acquisition unit is handled described video image to obtain information of vehicles, has so just realized obtaining in real time of candid photograph violating the regulations and vehicles peccancy information.
The imageing sensor of image-generating unit adopts high-resolution ccd sensor, the visual field cover width is greater than a track, not only can obtain high-resolution video image, and on each track, only need Image Acquisition of installation and treating apparatus promptly can guarantee the whole track of image pickup scope all standing, even under the situation of multilane, also have enough stack overlay areas between the Image Acquisition in each track and the treating apparatus.
Description of drawings
Fig. 1 is the structural representation of an embodiment of Image Acquisition of the present utility model and treating apparatus;
Fig. 2 is the structural representation of information acquisition unit shown in Figure 1;
Fig. 3 is the structural representation of another embodiment of Image Acquisition of the present utility model and treating apparatus;
Fig. 4 is the structural representation of another embodiment of Image Acquisition of the present utility model and treating apparatus;
Fig. 5 is the structural representation of another embodiment of Image Acquisition of the present utility model and treating apparatus;
Embodiment
The utility model embodiment absorbs scene by image-generating unit, and trigger pip triggers the candid photograph unit and obtains the video image that includes vehicle, and information acquisition unit is handled described video image to obtain information of vehicles, has realized imaging and Flame Image Process integrated thus.
Below in conjunction with drawings and Examples the utility model embodiment is described in detail.The Image Acquisition of the utility model embodiment and treating apparatus can be installed on the cross bar of traffic route top, are used for monitoring in real time vehicle current on the track.
Fig. 1 is the structural representation of an embodiment of the utility model Image Acquisition and treating apparatus, shown in Image Acquisition and treating apparatus 1 comprise: image-generating unit 10, analog digital (A/D) converting unit 11, capture unit 14 and information acquisition unit 15.
Image-generating unit 10 is used to absorb the scene in the area to be monitored, produces the corresponding simulating video flowing.Image-generating unit 10 comprises optical lens and imageing sensor (not shown), optical lens focuses light rays on the imageing sensor, the scene light signal of image capture sensor area to be monitored (being the camera lens overlay area), and convert electric signal to, promptly export analog video stream corresponding to the video image of area to be monitored.Usually, therefore the visual field cover width of optical lens can guarantee the whole track of image pickup scope all standing greater than a track.
Described imageing sensor can be charge-coupled image sensor (CCD, Charge Coupled Device) sensor or complementary metal oxide semiconductor (CMOS) (CMOS, Complementary Metal OxideSemiconductor) sensor.
In the present embodiment, what imageing sensor adopted is the ccd sensor of high resolving power (for example 2,000,000 pixels or higher).At present, the imaging technique of CCD is very ripe, compares cmos sensor, and the imaging permeability of ccd sensor, acutance are all fine under same pixel, and color rendition, that exposure can guarantee is accurate substantially.Therefore, adopt high-resolution ccd sensor can obtain high-quality image.
A/D converting unit 11 is used for converting the analog video stream that image-generating unit 10 produces to digital video frequency flow.Wherein, digital video frequency flow is exported in the frame signal mode.Corresponding to the ccd sensor that imageing sensor adopts, the digital video frequency flow of A/D converting unit 11 outputs of present embodiment is the CCD frame signal.
Capture unit 14, be used for after receiving trigger pip, obtain current video image from the digital video frequency flow of described A/D converting unit 11 outputs, trigger pip shown in Figure 1 is an outer triggering signal, described outer triggering signal can by the vehicle detection apparatus of outside detect vehicle by the time produce, described vehicle detection apparatus is installed on each track, can be coil, infrared, radar or other hardware wagon detector, accordingly, the outer triggering signal of generation is respectively coil trigger pip, infrared trigger pip or radar trigger pip etc.Adopt hardware checker to detect passing through of vehicle, can obtain high vehicle detection and catch accuracy rate.
Capture unit 14 after receiving outer triggering signal, from the digital video frequency flow of A/D converting unit 11 outputs, obtain the digital video signal (being the CCD frame signal in the present embodiment) of present frame, the image that includes the vehicle that enters the area to be monitored in the video image that obtain this moment, and the digital video signal to present frame compresses, and is converted into the video image of specific format (for example jpeg form).
In addition, the trigger pip that candid photograph unit 14 receives can also comprise video trigger pip (as shown in Figure 3), hypervelocity trigger pip (as shown in Figure 5), will be elaborated in the back.
In addition, the information of vehicles that obtains of information acquisition unit 15 can also comprise and capturing the time, place etc. that unit 14 obtains video image (being that vehicle passes through).Usually, the time of obtaining video image is the current system time of Image Acquisition and treating apparatus, and the place is the place that the Image Acquisition of storing in advance and treating apparatus are installed.
The result (information of vehicles) of the Image Acquisition of Fig. 1 and treating apparatus 1 output comprises: the time that the video image that includes vehicle (video image with specific format after the compression), license plate binary image, the number-plate number, car plate color, body color and the vehicle that obtains because of external trigger passes through etc.
Please refer to Fig. 2, information acquisition unit 15 shown in Figure 1 comprises car plate recognition unit 16 and color recognition unit 17.
Car plate recognition unit 16 is used for the video image that candid photograph unit 14 obtains is carried out the identification of license board information, promptly by car plate location, the identification of car plate color, Character segmentation and character recognition, obtains license plate binary image, car plate color and the number-plate number.
The car plate recognition unit 16 of present embodiment comprises: car plate positioning unit 160, car plate color recognition unit 161, Character segmentation unit 162 and character recognition unit 163.
Car plate positioning unit 160 is used to analyze and captures the video image that unit 14 obtains, and orients the license plate area that meets vehicle license plate characteristic, it is split from video image, and convert the license plate binary image to.The car plate location mainly comprises: the license plate area coarse positioning, define the position about car plate bound location and car plate.The license plate binary image is that the coloured image with license plate area converts gray level image to, is obtained by greyscale image transitions again.
Car plate color recognition unit 161 is used to analyze the license plate area that described car plate positioning unit 160 is located, and identifies the car plate color.
License plate recognition technology is well known to those skilled in the art, and promptly no longer car plate location, Character segmentation and character recognition is launched explanation at this.
The color recognition unit 17 of present embodiment comprises Region Segmentation unit 170, color determining unit 171 and shade recognition unit 172.
In the present embodiment, Region Segmentation unit 170 utilizes the result of the car plate location of car plate recognition unit 16, be the result of the license plate area location that obtains of the car plate positioning unit 160 of car plate recognition unit 16, the position of vehicle body in the video image that definite candid photograph unit 14 obtains, the areal distribution according to vehicle body is partitioned into car protecgulum zone again.Usually, car protecgulum regional center is consistent with the horizontal ordinate at license plate area center, and the car protecgulum zone that is partitioned into is the rectangular area, and the size of rectangular area can utilize visual experience to determine.Because therefore the result that the license plate area that has directly utilized car plate positioning unit 160 to obtain is located can be partitioned into car protecgulum zone fast.
Selected pixel can be a pixel all in the area-of-interest, and in the present embodiment, because the change color in the area-of-interest is slow, therefore, selected pixel can be (laterally or vertically) on the direction in area-of-interest, the pixel that fixed interval quantity is selected.
In the identification area-of-interest selected pixel color can (L represents lightness at Lab, a represents green to red, b represents blue to yellow) select the kernel function (gaussian kernel function or linear kernel function) of correspondence to carry out in the color space, the color of determining area-of-interest can be by described proper vector being utilized support vector machine (SVM, Support Vector Machine) Classification and Identification obtain.Because the color of Lab color space is similar to the perception of color with human eye near evenly distributing, and the aberration of Lab color space helps classifying with SVM also near Euclidean distance, therefore, guaranteed the precision of color identification.
Need to prove, shade recognition unit 172 only is used for the color of vehicle body is carried out the classification of the depth two classes, that is to say, the simple information (dark or light color) of body color only is provided, therefore, in other embodiments, color recognition unit 17 also can not comprise shade recognition unit 172.
Because the area-of-interest in the present embodiment is a specific region of vehicle body, compares complete vehicle body zone, the color of identification pixel or the operand of the depth have reduced, and arithmetic speed has improved; And the pixel that is used to discern can be the pixel that fixed interval quantity is selected, rather than all pixel in the area-of-interest, has so just further reduced operand, has improved arithmetic speed.
Fig. 3 is the structural representation of another embodiment of the utility model Image Acquisition and treating apparatus, shown in Image Acquisition and treating apparatus 2 comprise: image-generating unit 10, A/D converting unit 11, video trigger element 13, capture unit 14 and information acquisition unit 15.The part that only Fig. 3 is different from Fig. 1 is elaborated below.
In the present embodiment, the trigger pip that triggering candid photograph unit 24 obtains the video image that includes vehicle is the video trigger pip, and described video trigger pip is produced by video trigger element 13.Compared to Figure 1, the Image Acquisition of present embodiment and treating apparatus 2 also comprise: video trigger element 13, be used to analyze the digital video frequency flow that A/D converting unit 11 produces, detected vehicle by the time produce the video trigger pip.Certainly, video trigger element 13 also can be not included in Image Acquisition and the treating apparatus 2.
In general, video trigger element 13 can be to analyze every frame of digital vision signal (video image), and whether the gradation of image, color and the edge texture that detect in the presumptive area change, if change, illustrated that vehicle arrives presumptive area, then produced the video trigger pip and exported.Perhaps, video trigger element 13 also can utilize the license plate area in the fast algorithm of locating license plate of vehicle Primary Location video image, in the license plate area of analysis Primary Location whether the feature of car plate is arranged, if vehicle license plate characteristic, then output video trigger pip are arranged.
In the present embodiment, video trigger element 13 is when changing (promptly have frame poor) at the gray scale of the video image of front and back frame, color and edge texture (vehicle license plate characteristic), whether detect different characteristic in the video image at times detects and has vehicle to pass through, and when having detected vehicle and passed through the output video trigger pip, comprise: by day, output video trigger pip when the gray scale of black shade surpasses the most black shadow thresholds at the bottom of the car of setting (have car at the bottom of shadow character) in the video image; At night, output video trigger pip when the car light feature is arranged in the video image; At ambient lighting more weak dawn or dusk, adaptive adjustment detected parameters, described detected parameters is predefined corresponding to the most black shadow thresholds at the bottom of the car at dawn or dusk, specifically, judge dawn or dusk by the road surface brightness that detects in the video image, and select corresponding to the most black shadow thresholds at the bottom of the car at dawn or dusk output video trigger pip during black shadow thresholds at the bottom of the gray scale of black shade surpasses the car of described selection in the video image according to judged result.
(daytime, night, dawn, dusk) is fit to represent the feature of vehicle to judge whether that vehicle passes through the video trigger element 13 of present embodiment under the different illumination conditions by detecting, thereby can detect the arrival of vehicle exactly, reduce the probability of false triggering with this.
In addition, Image Acquisition and treating apparatus 2 have video and trigger function, when detecting the vehicle triggering, obtain the video image that includes vehicle automatically, thereby do not need extra hardware wagon detector to trigger the candid photograph video image, go for being not suitable for installing the place of hardware wagon detector (for example ground induction coil detecting device).Therefore, the scope of application of the installation region of the Image Acquisition of present embodiment and treating apparatus is more extensive.
The result (information of vehicles) of the Image Acquisition of Fig. 3 and treating apparatus 2 outputs comprises: the time that the video image that includes vehicle (video image with specific format after the compression), license plate binary image, the number-plate number, car plate color, body color and the vehicle that obtains because of the video triggering passes through etc.
Fig. 4 is the structural representation of another embodiment of the utility model Image Acquisition and treating apparatus, shown in Image Acquisition and treating apparatus 3 comprise: image-generating unit 10, A/D converting unit 11, imaging control module 12, video trigger element 13, capture unit 24 and information acquisition unit 15.The part that only Fig. 4 is different from Fig. 3 is elaborated below.
Compare with Fig. 3, Image Acquisition shown in Figure 4 and treating apparatus 3 also comprise imaging control module 12, are used to be adjusted to picture controlled variable (for example shutter value), and described imaging controlled variable is used to control the image quality of image-generating unit 10.In the present embodiment, imaging control module 12 is adjusted the shutter value by the brightness of specific region in the analysis video image, and wherein, the brightness of specific region comprises background luminance and car plate brightness.
The imaging control module 12 of present embodiment comprises background luminance control image-generating unit and car plate brilliance control image-generating unit.
Background luminance control image-generating unit, be used to obtain the digital video frequency flow that A/D converting unit 11 produces, adjust the shutter value by the background luminance of analyzing in every frame video image, comprising: calculate road surface brightness by brightness histogram, select shutter value corresponding to road surface brightness.Usually, road surface brightness is higher, selects less shutter value; Road surface brightness is lower, selects bigger shutter value.Adjusted shutter value is used to control the image quality of next frame video image.
Car plate brilliance control image-generating unit, be used for when the video image that candid photograph unit 24 obtains has vehicle license plate characteristic, adjust the shutter value by the car plate brightness of analyzing in the described video image that obtains, comprise: calculate car plate brightness by medium filtering, turn the shutter value in car plate brightness in limited time down on greater than normal range, less than transferring big shutter value under the normal range in limited time, and car plate brightness does not change the shutter value in normal range the time in car plate brightness.Do not have vehicle license plate characteristic in the video image that unit 24 obtains then do not adjust the shutter value if capture.Adjusted shutter value is used to control the image quality of next frame video image.
The imaging control module 12 of present embodiment is for every frame video image, and application background brilliance control image-generating unit is adjusted the image quality of the analog video stream of image-generating unit 10 generations in real time; When in the video image of capturing, vehicle license plate characteristic being arranged, use the image quality of car plate brilliance control next frame video image, capture the video image image quality height that unit 24 obtains like this, and license plate area is obvious in the image, helps improving the car plate identification of information acquisition unit 15 and the accuracy that body color is discerned.
In addition, compare with candid photograph unit 14 shown in Figure 3, candid photograph unit 24 shown in Figure 4 after receiving trigger pip (present embodiment is the video trigger pip), obtain current video image before, also export the light filling control signal, be used to open external light compensating apparatus.Light compensating apparatus is generally intelligent stroboscopic lamp, is installed in the next door of each Image Acquisition and treating apparatus.After stroboscopic lamp is opened, can carry out light filling to the scene of image-generating unit 10 picked-ups, with this video image that obtains high definition, avoided causing license plate area in the video image not obvious even all be capped the situation of (being complete white shape) far below the conditions such as illumination of car light direct projection because of intense light irradiation, ambient lighting change violent, night background illumination.
The FEEDBACK CONTROL of imaging control module 12 and the cooperation of light compensating apparatus can the high-resolution imagings of round-the-clock ground, make the video image clarity height that daytime and night capture, and guarantee that vehicle body, car plate and automobile front-row personnel facial characteristics are all clear and legible.
The result (information of vehicles) of the Image Acquisition of Fig. 4 and treating apparatus 3 outputs comprises: the time that the video image that includes vehicle (video image with specific format after the compression), license plate binary image, the number-plate number, car plate color, body color and the vehicle that obtains because of the video triggering passes through etc.
The Image Acquisition of the utility model embodiment and treating apparatus can also comprise the hypervelocity trigger element, for example shown in Figure 5, compare with treating apparatus 3 with Image Acquisition shown in Figure 4, Image Acquisition shown in Figure 5 and treating apparatus 4 also comprise hypervelocity trigger element 18, and the trigger pip that candid photograph unit 34 receives also comprises the hypervelocity trigger pip of hypervelocity trigger element 18 outputs.
The result of the Image Acquisition of Fig. 5 and treating apparatus 4 outputs comprises: because of video triggers the time that the video image that includes vehicle (video image with specific format after the compression) that obtains, corresponding license plate binary image, the number-plate number, car plate color, body color and vehicle pass through; Perhaps, trigger time and the Vehicle Speed that the video image that includes over-speed vehicles obtain, corresponding license plate binary image, the number-plate number, car plate color, body color, vehicle pass through because of hypervelocity.
Image Acquisition of the foregoing description and treating apparatus can adopt hardware and software in conjunction with realization, on hardware, (for example digital signal processor DSP, microcontroller MCU) is embedded in Image Acquisition and the treating apparatus with image-generating unit, analog digital converting unit and processor, promptly can be integrated on the same circuit board, realize the Highgrade integration of hardware circuit with this; On software, finish video triggering, imaging control, image candid photograph and information by processor and obtain, in the platform that adapts to high hardware integrated level, also realized the real-time and high speed processing of image, obtain information of vehicles accurately.
In the prior art Image Acquisition and handling carry out respectively (for example by analog video camera, image pick-up card finish image acquisition, by carrying out Flame Image Process in embedded integrated circuit board or the image processing apparatus), Image Acquisition of the foregoing description and treating apparatus are the requirement of satisfying high hardware integrated level, make the hardware circuit after integrating be simplified, and, be the platform that adapts to high hardware integrated level and high speed that realizes image and accurately processing, imaging control, image are captured and the algorithm of technology for information acquisition has also obtained optimization.
In sum, above-mentioned Image Acquisition and treating apparatus have the following advantages:
Image acquisition and processing are integrated in Image Acquisition and the treating apparatus, promptly by image-generating unit picked-up scene, trigger pip triggers the candid photograph unit and obtains the video image that includes vehicle, information acquisition unit is handled the described video image that obtains to obtain information of vehicles, realized Embedded image acquisition and handled in real time, thereby realized that imaging and Flame Image Process are integrated.
The imageing sensor of image-generating unit adopts high-resolution ccd sensor, the visual field cover width is greater than a track, not only can obtain high-resolution video image, and on each track, only need Image Acquisition of installation and treating apparatus promptly can guarantee the whole track of image pickup scope all standing, even under the situation of multilane, also have enough stack overlay areas between the Image Acquisition in each track and the treating apparatus.
(daytime, night, dawn, dusk) is fit to represent the feature of vehicle to judge whether that vehicle passes through the video trigger element under the different illumination conditions by detecting, thereby can detect the arrival of vehicle exactly, reduces the probability of false triggering with this.
Information acquisition unit also has the function of body color identification, and abundanter information of vehicles is provided.The area-of-interest that is used for body color identification can be a specific region of vehicle body, rather than complete vehicle body zone, so operand is little, fast operation; And being used to the pixel discerned in the area-of-interest can be the pixel that fixed interval quantity is selected, rather than all pixel in the area-of-interest, has so just further reduced operand, has improved arithmetic speed.
The imaging control module is for every frame video image, and the image quality of the analog video stream of image-generating unit generation is adjusted in application background brightness in real time; When in the video image of capturing, vehicle license plate characteristic being arranged, use the image quality that the analog video stream of image-generating unit generation is adjusted in car plate brightness, make like this and capture the video image image quality height that the unit obtains, and license plate area is obvious in the image, helps improving the car plate identification of information acquisition unit and the accuracy that body color is discerned.
The hypervelocity trigger element is when Vehicle Speed surpasses default speed limit, produce the hypervelocity trigger pip, trigger the candid photograph unit with this and obtain the video image that includes over-speed vehicles, information acquisition unit is handled described video image to obtain information of vehicles, has so just realized obtaining in real time of candid photograph violating the regulations and vehicles peccancy information.
The collection of video image and processing are carried out in Image Acquisition and treating apparatus (front-end equipment), the information of vehicles of Image Acquisition and treating apparatus output is a digital signal, therefore reduce the volume of transmitted data of Image Acquisition and treating apparatus effectively, improved the transmission speed of data.
Image acquisition and processing are integrated in Image Acquisition and the treating apparatus, it is integrated to be about to imaging and Flame Image Process, the data of Image Acquisition and treating apparatus output can directly transfer to storage and management devices (for example terminal server), perhaps, the data of a plurality of Image Acquisition and treating apparatus output can transfer to one or more storages and management devices by communicator (for example hub), thereby can simplify the structure of vehicle monitoring and register system, reduced the installation complexity of system; And,, thereby storage and management devices handling performance requirements also reduced because Flame Image Process finished in real time by Image Acquisition and treating apparatus.
Though the utility model with preferred embodiment openly as above; but it is not to be used for limiting the utility model; any those skilled in the art are not in breaking away from spirit and scope of the present utility model; can make possible change and modification, therefore protection domain of the present utility model should be as the criterion with the scope that the utility model claim is defined.
Claims (21)
1. Image Acquisition and treating apparatus is characterized in that, comprising:
Image-generating unit is used to absorb the video image in the area to be monitored, produces the corresponding simulating video flowing;
Analog digital converting unit is used for converting the analog video stream that described image-generating unit produces to digital video frequency flow;
Capture the unit, be used for after receiving trigger pip, the digital video frequency flow of exporting from described analog digital converting unit obtains current video image;
Information acquisition unit is used for the video image that described candid photograph unit obtains is handled, and obtains the information of vehicles in the image.
2. Image Acquisition according to claim 1 and treating apparatus is characterized in that described trigger pip comprises the video trigger pip.
3. Image Acquisition according to claim 2 and treating apparatus, it is characterized in that, described Image Acquisition and treating apparatus also comprise: the video trigger element, be used to analyze the digital video frequency flow that described analog digital converting unit produces, and when having detected vehicle, produce described video trigger pip.
4. Image Acquisition according to claim 3 and treating apparatus, it is characterized in that, described video trigger element is gray scale, color and the edge texture at the video image of front and back frame when changing, and the different characteristic that detects at times in the video image detects whether vehicle is arranged.
5. Image Acquisition according to claim 4 and treating apparatus, it is characterized in that, described video trigger element detected vehicle the time produce the video trigger pip and comprise: by day, output video trigger pip when the gray scale of black shade surpasses at the bottom of the car of setting the most black shadow thresholds in the video image; At night, output video trigger pip when the car light feature is arranged in the video image; At ambient lighting more weak dawn or dusk, output video trigger pip when the gray scale of black shade surpasses at the bottom of the corresponding car the most black shadow thresholds in the video image, the most black shadow thresholds is to judge it is dawn or dusk by the road surface brightness that detects in the video image at the bottom of the car of described correspondence, and selects to obtain corresponding to the most black shadow thresholds at the bottom of the car at dawn or dusk.
6. Image Acquisition according to claim 1 and treating apparatus is characterized in that, described trigger pip comprises the wherein a kind of of coil trigger pip, infrared trigger pip and radar trigger pip.
7. Image Acquisition according to claim 1 and treating apparatus is characterized in that, described information acquisition unit comprises: car plate recognition unit and/or color recognition unit,
Described car plate recognition unit is used for by car plate location, the identification of car plate color, Character segmentation and character recognition, and the video image that described candid photograph unit is obtained carries out the identification of license board information, obtains license plate binary image, car plate color and the number-plate number;
Described color recognition unit is used for by being partitioned into area-of-interest, and versicolor pixel number in the color of pixel, the statistics area-of-interest is carried out the identification of body color with the video image that described candid photograph unit is obtained in the identification area-of-interest.
8. Image Acquisition according to claim 7 and treating apparatus is characterized in that, described car plate recognition unit comprises:
The car plate positioning unit is used to analyze the video image that described candid photograph unit obtains, and orients the license plate area that meets vehicle license plate characteristic, it is split from video image, and convert the license plate binary image to;
Car plate color recognition unit is used to analyze the license plate area that described car plate positioning unit is located, and identifies the car plate color;
The Character segmentation unit is used for the license plate area of described car plate positioning unit location is divided into single character;
Character recognition unit is used for the character that the Character segmentation unit is cut apart is discerned respectively, forms the number-plate number.
9. Image Acquisition according to claim 7 and treating apparatus is characterized in that, described color recognition unit comprises:
The Region Segmentation unit is used for being partitioned into area-of-interest from the video image that described candid photograph unit obtains, and described area-of-interest is meant that field color can be used for representing certain specific region of the vehicle body of whole body color;
The color determining unit is used for discerning the area-of-interest of cutting apart described Region Segmentation unit and selectes versicolor pixel number in the color of pixel, the statistics area-of-interest, obtains to describe the proper vector of field color, to determine the area-of-interest color.
10. Image Acquisition according to claim 9 and treating apparatus is characterized in that, described area-of-interest is car protecgulum zone.
11. Image Acquisition according to claim 10 and treating apparatus, it is characterized in that, the result of the car plate location of the described car plate recognition unit of described Region Segmentation unit by using, determine the position of vehicle body in the video image that described candid photograph unit obtains, the areal distribution according to vehicle body is partitioned into car protecgulum zone again.
12. Image Acquisition according to claim 9 and treating apparatus, it is characterized in that, described color recognition unit also comprises: the shade recognition unit, be used for discerning the shade of the selected pixel of cutting apart described Region Segmentation unit of area-of-interest, and the statistical pixel point is assigned to the number of dark color, light color, to determine the shade of area-of-interest.
13., it is characterized in that described selected pixel is on the direction in described area-of-interest, the pixel that fixed interval quantity is selected according to claim 9 or 12 described Image Acquisition and treating apparatus.
14. Image Acquisition according to claim 1 and treating apparatus is characterized in that, also comprise: the imaging control module, be used to be adjusted to the picture controlled variable, described imaging controlled variable is used to control the image quality of described image-generating unit.
15. Image Acquisition according to claim 14 and treating apparatus is characterized in that, described imaging control module comprises:
Background luminance control image-generating unit is used to obtain the digital video frequency flow that described AD conversion unit produces, and adjusts the shutter value by the background luminance of analyzing in every frame video image;
Car plate brilliance control image-generating unit is used for adjusting the shutter value by the car plate brightness of analyzing in the described video image when the video image that the candid photograph unit obtains has vehicle license plate characteristic.
16. Image Acquisition according to claim 15 and treating apparatus, it is characterized in that, the background luminance in the analysis video image passed through of described background luminance control image-generating unit is adjusted the shutter value and is comprised: calculate road surface brightness by brightness histogram, select the shutter value corresponding to road surface brightness.
17. Image Acquisition according to claim 15 and treating apparatus, it is characterized in that, the car plate brightness in the analysis video image passed through of described car plate brilliance control image-generating unit is adjusted the shutter value and is comprised: calculate car plate brightness by medium filtering, turn the shutter value in car plate brightness in limited time down on greater than normal range, in car plate brightness less than transferring big shutter value under the normal range in limited time.
18. Image Acquisition according to claim 1 and treating apparatus is characterized in that, described candid photograph unit after receiving trigger pip, obtain current video image before, also export the light filling control signal, to open external light compensating apparatus.
19. Image Acquisition according to claim 1 and treating apparatus is characterized in that, described trigger pip comprises the hypervelocity trigger pip.
20. Image Acquisition according to claim 19 and treating apparatus is characterized in that, also comprise: the hypervelocity trigger element is used for producing described hypervelocity trigger pip when the Vehicle Speed that receives surpasses default speed limit.
21. Image Acquisition according to claim 1 and treating apparatus is characterized in that, described image-generating unit comprises the ccd image sensor that 2,000,000 pixels are above.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNU200820150434XU CN201247528Y (en) | 2008-07-01 | 2008-07-01 | Apparatus for obtaining and processing image |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNU200820150434XU CN201247528Y (en) | 2008-07-01 | 2008-07-01 | Apparatus for obtaining and processing image |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN201247528Y true CN201247528Y (en) | 2009-05-27 |
Family
ID=40731352
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CNU200820150434XU Expired - Lifetime CN201247528Y (en) | 2008-07-01 | 2008-07-01 | Apparatus for obtaining and processing image |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN201247528Y (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103279755A (en) * | 2013-03-25 | 2013-09-04 | 东莞中国科学院云计算产业技术创新与育成中心 | Fast license plate location method based on the shadow feature of the bottom of the car |
| CN103856764A (en) * | 2012-11-30 | 2014-06-11 | 浙江大华技术股份有限公司 | Device for performing monitoring through double shutters |
| CN109360436A (en) * | 2018-11-02 | 2019-02-19 | Oppo广东移动通信有限公司 | Video generation method, terminal and storage medium |
| CN110213518A (en) * | 2011-12-28 | 2019-09-06 | 英特尔公司 | Virtual shutter image capture |
| CN110992707A (en) * | 2019-12-25 | 2020-04-10 | 深圳人人停技术有限公司 | Vehicle parking management method, system and computer readable storage medium |
| CN111127898A (en) * | 2019-12-27 | 2020-05-08 | 北京万集科技股份有限公司 | Method and device for switching trigger modes |
-
2008
- 2008-07-01 CN CNU200820150434XU patent/CN201247528Y/en not_active Expired - Lifetime
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110213518A (en) * | 2011-12-28 | 2019-09-06 | 英特尔公司 | Virtual shutter image capture |
| CN103856764A (en) * | 2012-11-30 | 2014-06-11 | 浙江大华技术股份有限公司 | Device for performing monitoring through double shutters |
| CN103856764B (en) * | 2012-11-30 | 2016-07-06 | 浙江大华技术股份有限公司 | A kind of device utilizing double-shutter to be monitored |
| CN103279755A (en) * | 2013-03-25 | 2013-09-04 | 东莞中国科学院云计算产业技术创新与育成中心 | Fast license plate location method based on the shadow feature of the bottom of the car |
| CN109360436A (en) * | 2018-11-02 | 2019-02-19 | Oppo广东移动通信有限公司 | Video generation method, terminal and storage medium |
| CN110992707A (en) * | 2019-12-25 | 2020-04-10 | 深圳人人停技术有限公司 | Vehicle parking management method, system and computer readable storage medium |
| CN111127898A (en) * | 2019-12-27 | 2020-05-08 | 北京万集科技股份有限公司 | Method and device for switching trigger modes |
| CN111127898B (en) * | 2019-12-27 | 2021-07-13 | 北京万集科技股份有限公司 | Method and device for switching trigger modes |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101344988B (en) | Image acquisition and processing device and method, vehicle monitoring and recording system | |
| CN101388146B (en) | Image acquisition and processing device and method, vehicle monitoring and recording system | |
| EP3829163B1 (en) | Monitoring method and device | |
| CN102722704B (en) | Method and system for recognizing vehicle license plate by integrating video dynamic tracking | |
| CN104134352B (en) | The video frequency vehicle feature detection system and its detection method combined based on long short exposure | |
| CN100507970C (en) | Red light detection system and method based on digital camera | |
| CN101512549B (en) | Real-time face tracking in a digital image acquisition device | |
| WO2022052475A1 (en) | Image capture processing method, apparatus and device, storage medium, and program product | |
| CN201213038Y (en) | Traffic information collecting system based on linear array CCD video camera | |
| CN201247528Y (en) | Apparatus for obtaining and processing image | |
| CN111161543A (en) | Automatic snapshot method and system for bus front violation behavior based on image recognition | |
| CN103856764B (en) | A kind of device utilizing double-shutter to be monitored | |
| CN103646550A (en) | Intelligent vehicle license plate recognition system | |
| CN1725266A (en) | Vehicle intelligent monitoring recording syste mand method based on video trigger and speed measuring | |
| CN101692313A (en) | Portable vehicle recognition device base on embedded platform | |
| CN111179302B (en) | Moving target detection method and device, storage medium and terminal equipment | |
| AU2023100087B4 (en) | Infringement detection method, device and system | |
| CN101571999A (en) | Infrared shooting device and traffic information system | |
| CN101184168A (en) | Integrated Control Method of Camera Shutter and Gain Based on License Plate Brightness Contrast | |
| CN110414445B (en) | Light source adjusting method and device for face recognition and electronic equipment | |
| CN111160299A (en) | Living body identification method and device | |
| CN119229664A (en) | Traffic violation evidence collection methods and equipment | |
| CN117475421A (en) | License plate exposure compensation method and device and electronic equipment | |
| CN111489558A (en) | License plate recognition method and system | |
| CN105513372B (en) | Capture and recognition method for vehicles equipped with license plate anti-photographer |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20170901 Address after: No. 555 Kang Hangzhou Science Park of Zhejiang province Binjiang District Qianmo road 310053 Patentee after: Hangzhou Hikvision Digital Technology Co., Ltd. Address before: 201203 Shanghai Zhangjiang hi tech Park 1690 Cailun Road No. 3 building second, third layer Patentee before: Gaodewei Intelligent Traffic System Co., Ltd., Shanghai |
|
| CX01 | Expiry of patent term | ||
| CX01 | Expiry of patent term |
Granted publication date: 20090527 |