CN102708685B - Device and method for detecting and snapshotting violation vehicles - Google Patents
Device and method for detecting and snapshotting violation vehicles Download PDFInfo
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Abstract
The invention discloses a device and a method for detecting and snapshotting violation vehicles. The device comprises an image acquisition system and an image processing system. The image processing system comprises an image processing module, an image acquisition control module and a data uploading module. The method utilizing the device includes decoding, detecting and calibrating images acquired by the image acquisition system via the image processing system, controlling the image acquisition system to acquire clear evidence images according to processed results and uploading the processed results and evidence data to an upper server simultaneously. The device and the method for detecting and snapshotting violation vehicles have the advantages that violation vehicles, particularly vehicles overpassing or stopping above traffic lines, are detected on the static background, target vehicles are snapshotted and recorded dynamically, monitoring vision field is larger, violation vehicles can be effectively snapshotted by focusing in the monitoring vision field and information such as license numbers of the violation vehicles is acquired.
Description
Technical field
The present invention relates to a kind of detection and the device and method of capturing moving object, be specifically related to a kind of detection, tracking and candid photograph based on vision device and method of vehicle in violation of rules and regulations.
Background technology
Along with the development in city, the quantity of motor vehicles day by day increases, and thing followed traffic problems have not only seriously hindered the development in city, more people's go off daily have been produced to inconvenience, even jeopardize people's life security.Therefore, traffic monitoring equipment has obtained application more widely.What existing traffic monitoring equipment mainly adopted is computer vision technique, and so-called computer vision technique refers to: first by imageing sensor, obtain image, then by computing machine, carry out graphical analysis, finally obtain image information.Yet existing traffic monitoring equipment ubiquity the defect such as not fogging clear that monitoring range is little, obtain, and the most important thing is to upload in real time the image getting.
Summary of the invention
For solving the deficiencies in the prior art, the object of the present invention is to provide a kind of detection and the device and method of capturing violation vehicle, realization detects in real time vehicle in violation of rules and regulations in larger monitoring range, obtain picture rich in detail and the video clip of target, thereby obtain such as information such as the number-plate numbers, and the information of acquisition is uploaded in network in real time.
In order to realize above-mentioned target, the present invention adopts following technical scheme:
Detect and capture the device of vehicle in violation of rules and regulations, it is characterized in that, comprise: for gather the image capturing system of image by hardware, for the image that aforementioned image capturing system is collected, decode, detect, demarcate the image processing system of processing and result being uploaded and the hardware of aforementioned image capturing system is controlled, the image visual field of above-mentioned image capturing system is that long and narrow bearing of trend square and narrow rectangular long limit is consistent with road direction.
Aforesaid detection with capture the device of vehicle in violation of rules and regulations, it is characterized in that, aforementioned image capturing system is included under the control of aforementioned image processing system and carries out the static video camera that gathers image and dynamic acquisition image.
Aforesaid detection and the device of capturing violation vehicle, is characterized in that, aforementioned image capturing system also comprises for loading aforementioned video camera also can do the The Cloud Terrace of level and luffing.
Aforesaid detection and the device of capturing violation vehicle, is characterized in that, aforementioned The Cloud Terrace is provided with high precision angular encoder and variable speed controllable motor.
Aforesaid detection and the device of capturing violation vehicle, is characterized in that, aforementioned image processing system comprises: the image processing module of decoding, detect, demarcating for the image that aforementioned image capturing system is collected; For control the image acquisition control module of action of the hardware of aforementioned image capturing system according to the result of aforementioned image processing module; For uploading the data upload module of aforementioned processing result.
Aforesaid detection and the device of capturing violation vehicle, is characterized in that, aforementioned image processing module comprises:
The video decode submodule decompressing for the compressed video that aforementioned image capturing system is obtained;
For the vision signal restoring according to aforementioned video decode submodule, detect the target detection submodule of target in violation of rules and regulations;
For according to the parameter of aforementioned video camera, set up the image calibration submodule of the big or small corresponding relation of image and actual scene;
For calculating the movement velocity of aforementioned target of actual scene and the target of the direction of motion direction finding submodule that tests the speed;
Be used for predicting when aforementioned video camera is captured target that target is at the target prodiction submodule of the position of camera field of view.
Aforesaid detection and the device of capturing violation vehicle, it is characterized in that, earlier figures comprises as acquisition control module: for control aforementioned image capturing system according to the result of aforementioned image processing module, capture target, preserve view data, preserve the hardware controls submodule of the video record of aforementioned target process in violation of rules and regulations simultaneously.
Aforesaid detection with capture the device of vehicle in violation of rules and regulations, it is characterized in that, in aforementioned data, transmission module comprises: the evidence data upload submodule that uploads to network for image in violation of rules and regulations of target that aforementioned image capturing system is obtained and video evidence.
Utilize device as the aforementioned to detect and capture the method for vehicle in violation of rules and regulations, it is characterized in that, comprise the following steps:
(1) image capturing system forms sample video by gathering continuous single-frame images;
(2) the sample video that the real-time aforementioned image capturing system of reception of image processing system transmits also detects the single frames of sample video, in above-mentioned single frames, have target more, while pressing traffic lines, this target is target to be checked;
(3) image processing system calculates the actual size of aforementioned target to be checked according to the big or small corresponding relation of image and actual scene, according to the aforementioned target to be checked of actual size judgement of aforementioned target to be checked, be vehicle or pedestrian, if pedestrian, this target to be checked is invalid target, and image processing system is proceeded step (1); If vehicle, this target to be checked, as target to be captured, enters step (4);
(4) image processing system to aforementioned target to be captured test the speed, direction finding, and wait capturing the movement velocity of target and the delay time of direction of motion and aforementioned image capturing system, predict above-mentioned position when capturing the corresponding vehicle of target in evidence obtaining candid photograph according to aforementioned, this position is evidence obtaining position;
(5) image processing system is captured and perpetuation of testimony image according to the aforementioned image capturing system of aforementioned evidence obtaining position control;
(6) after aforementioned image capturing system is captured and finished, aforementioned image processing system is controlled aforementioned image capturing system and is got back to the image acquisition work that monitoring position is proceeded step (1);
(7) image processing system uploads to higher level's server by result and target evidence in violation of rules and regulations.
Aforesaid detection and the method for capturing violation vehicle, it is characterized in that, in abovementioned steps (2), image processing system adopts the method based on background difference to detect aforementioned target, concrete, in image, be provided with a virtual detection line corresponding with traffic lines size and location in actual scene, image processing system carries out line scanning to aforementioned virtual detection line, when having continuously the gray-scale value of multirow to surpass threshold value, the aforementioned target area detecting and virtual detection line region have overlapping, and traffic lines are got over, pressed to aforementioned target.
Aforesaid detection and the method for capturing violation vehicle, is characterized in that, in abovementioned steps (3), image processing system calculates the actual size of aforementioned target to be checked according to the big or small corresponding relation of image and actual scene, and concrete grammar is:
The field angle of aforementioned video camera is θ
fov, focal length is that f, setting height(from bottom) are that the pixel dimension of h, CCD is l.The p if the vertical curve at video camera place and ground intersect at a point, a ' is target to be checked position on the ground, b ', c ' are 2 points that ground and field of view edge intersect, and the distance that b ' is ordered to aforementioned p is less than the distance that c ' is ordered to aforementioned p, and a ' is L with the horizontal range of video camera
pa ', aforementioned some a ', b ' become location of pixels corresponding on image to be respectively a, b and c with c ' at aforementioned CCD, and the optical axis that oo ' is video camera, can obtain the location point a ' at target to be checked place and the horizontal range L of video camera in actual scene according to above-mentioned information
pa ', computing formula is:
If the actual width of jobbie is w ', it becomes the imaging width on image at CCD is w, and its horizontal range apart from video camera is L, has
Wherein, l
acand l
bcfor the pixel distance that in image, a point, b point and c are ordered, L
pa 'and L
pc 'the distance of ordering for a ' point in actual scene, c ' and p.
Aforesaid detection and the method for capturing violation vehicle, is characterized in that, in abovementioned steps (4), the direction of motion of aforementioned target to be captured is determined by the change of distance relation of aforementioned target to be captured and aforementioned traffic lines; The measurement of the speed of aforementioned target to be captured is to measure by the method for detection of dynamic line.
Aforesaid detection and the method for capturing violation vehicle, it is characterized in that, the target velocity measuring method to be captured of aforementioned detection of dynamic line is: image processing system is according to the direction of motion of aforementioned target to be captured and positional information, in image, in a certain distance in the place ahead of aforementioned target to be captured, a fixing virtual detection line is set, open timer, then image processing system detects the variation of gray scale on aforementioned virtual detection line, when aforementioned grey scale change surpasses threshold value, aforementioned timer stops timing, according to the big or small corresponding relation of image and actual scene, calculate the change of distance that the target to be captured in actual scene occurs in aforementioned timing time, according to the distance of aforementioned variation and aforementioned timing time, calculate again the speed of aforementioned target to be captured.
Aforesaid detection and the method for capturing violation vehicle, it is characterized in that, in abovementioned steps (5), the concrete grammar that image processing system is controlled aforementioned image capturing system candid photograph perpetuation of testimony image is: the movement locus of the aforementioned target to be captured that image processing system obtains according to prediction, controlling aforementioned image capturing system focuses and rotary manipulation according to the track of aforementioned prediction, the tracking of realization to aforementioned target to be captured, when focusing finishes, aforementioned target to be captured is captured to operation, finally preserve the picture rich in detail that evidence is captured in aforementioned evidence obtaining.
Usefulness of the present invention is: image capturing system is focused automatically according to the position of target, and accurate tracking target is also captured, recorded a video, and obtains image, video data clearly; Image processing system is set up the big or small corresponding relation of image and actual scene according to the parameter of video camera, calculate the actual size of target, thereby judge that aforementioned target is vehicle or pedestrian, carries out different subsequent operations, efficent use of resources according to different judged results; Evidence data upload module, makes image and the video evidence of the target violation of acquisition upload in network in the very first time, and the information that realized is transmitted immediately, has good real-time.
Accompanying drawing explanation
Fig. 1 is that the present invention detects and captures the composition schematic diagram of a specific embodiment of the device of vehicle in violation of rules and regulations;
Fig. 2 is that the present invention detects and captures the main process flow diagram of the method for vehicle in violation of rules and regulations;
Fig. 3 is that the present invention detects and captures in the method for vehicle in violation of rules and regulations spotting apart from the demarcation schematic diagram of true horizon distance and the actual size of video camera.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is done to concrete introduction.
With reference to Fig. 1, detect and capture the device of vehicle in violation of rules and regulations, comprising: image capturing system and image processing system.
Image capturing system gathers image by hardware, this hardware comprises the video camera that carries out static collection image and dynamic acquisition image, the static image that gathers refers to camera acquisition single image, dynamic acquisition image refers to the single frames that camera acquisition is continuous and forms video, in order to guarantee the sharpness of image and video, can photograph such as important information such as the number-plate numbers, the resolution of video camera is 1920 * 1080, and can do level, pitching and closed loop moving by programmed control.
As a kind of preferred scheme, the image visual field of image capturing system is long and narrow square, and the bearing of trend on narrow rectangular long limit is consistent with road direction, not only increased monitoring range, and for not needing the area image acquisition system of monitoring not collect image beyond road, so also saved the time of image processing system image data processing information.
In order to make the video camera can flexible rotating following the tracks of, while capturing target, image capturing system also comprises that this The Cloud Terrace has level and luffing axle for loading the The Cloud Terrace of video camera.
As a kind of preferred version, on the level of The Cloud Terrace and luffing axle, be provided with high precision angular encoder and variable speed controllable motor, high precision angular encoder can accurately be controlled the angle of cloud platform rotation, guarantee that image capturing system obtains complete image information, variable speed controllable motor can be controlled the speed of cloud platform rotation, guarantee that image capturing system follows the tracks of and capture the video data of target of clear video data, the especially rapid movement of target within effective time.
The image that image capturing system collects is processed by image processing system, and then image processing system is uploaded the result of processing and control according to result the work of image capturing system.Introduce image processing system below.
Image processing system comprises: image processing module, image acquisition control module and data upload module.
Image processing module is decoded, detects, is demarcated for the image that image capturing system is collected, and comprising:
Video decode submodule: the video obtaining due to video camera is compressed video, so need video decode submodule in image processing system first compressed video to be decompressed, for the follow-up work for the treatment of of image processing system provides accurately, single frames and vision signal clearly.
Target detection submodule: for single frames or the vision signal restoring according to video decode submodule, detect target in violation of rules and regulations, the target of this violation is waits for that image processing system carries out the target to be checked further detecting.
Image calibration submodule: for according to the parameter of video camera, set up the big or small corresponding relation of image and actual scene, the parameter of video camera, comprising: the field angle θ of video camera
fov, focal distance f, setting height(from bottom) h, the pixel dimension l of CCD, image calibration submodule just can calculate the actual size of target to be checked in actual scene by Pixel Dimensions and the calibration formula of target in image, thereby judge that target to be checked is vehicle or pedestrian, if pedestrian, target to be checked is invalid target, if vehicle, this vehicle is target to be captured, different judged results has determined that image processing system will send different action commands to image capturing system, the result of image calibration is also the basis that image processing system selects to start different submodules in image processing module.
The target direction finding submodule that tests the speed: judging target when image processing system is when capturing target, image processing system calls this submodule according to the information obtaining, and this submodule is used for calculating movement velocity and the direction of motion of the target to be captured in actual scene.
Target prodiction submodule: according to movement velocity and the direction of motion of target, this submodule is used for prediction target position in camera field of view when image capturing system is captured target, guaranteeing the accurate target of capturing of image capturing system.
Image acquisition control module is for controlling the action of the hardware of image capturing system according to the result of image processing module, comprise hardware controls submodule, this hardware controls submodule is specifically used for controlling hardware in image capturing system to the direction of target travel and to adapt to the velocity of rotation rotation of target speed, control video camera focusing simultaneously, capture target, preserve view data and target in violation of rules and regulations the video of process as evidence.
Data upload module is for uploading result and the target evidence in violation of rules and regulations of image processing module, comprise evidence data upload submodule, the target to be captured that this submodule obtains image capturing system image and video evidence in violation of rules and regulations uploads in higher level's server by cable network or wireless network, can upload information in the very first time that obtains above-mentioned evidence, also can within the time setting, upload, according to the definite selection of concrete needs is any, uploads mode and upload the cycle.
Image and video information that above-mentioned image processing system transmits by processing image capturing system, and send the work that corresponding steering order is controlled image capturing system, realized above-mentioned detection and the real-time monitoring of the device of capturing vehicle in violation of rules and regulations to road.
With reference to Fig. 2, utilize said apparatus to detect and grab the method for vehicle in violation of rules and regulations, comprise the following steps:
(1) image capturing system self check, image processing system program initialization, then image capturing system forms sample video by gathering continuous single-frame images, and this sample video is for providing image processing system to process the basis of image.
(2) single frames of the sample video that the real-time reception image capturing system of image processing system transmits, and single frames is detected, while having target in violation of rules and regulations in single frames, this target is target to be checked.For the ease of understanding, the target of next take gets over, presses this concrete action of traffic lines to describe as example.
As a kind of preferred version, image processing system adopts the method based on background difference to detect target, concrete, a virtual detection line is set in image, the size and location of this virtual detection line in image are corresponding with the size and location of traffic lines in actual scene, image processing system carries out line scanning to the pixel of above-mentioned virtual detection line, when having continuously the gray-scale value of multirow pixel to surpass threshold value, the above-mentioned target area and the virtual detection line region that in image, detect have overlapping, thereby judging above-mentioned target in actual scene gets over, traffic lines have been pressed, should be more, the target of having pressed traffic lines is target to be checked.
(3) image processing system is set up the big or small corresponding relation of image and actual scene and is calculated the actual size of above-mentioned target to be checked, and with reference to Fig. 3, circular is as follows:
The field angle of known video camera is θ
fov, focal length is that f, setting height(from bottom) are that the pixel dimension of h, CCD is l.The p if the vertical curve at video camera place and ground intersect at a point, a ' is target to be checked position on the ground, b ', c ' are 2 points that ground and field of view edge intersect, and the distance that b ' is ordered to above-mentioned p is less than the distance that c ' is ordered to above-mentioned p, and a ' is L with the horizontal range of video camera
pa ', above-mentioned some a ', b ' become location of pixels corresponding on image to be respectively a, b and c with c ' at above-mentioned CCD, and the optical axis that oo ' is video camera, can obtain the location point a ' at target to be checked place and the horizontal range L of video camera in actual scene
pa ', computing formula is:
If the actual width of target to be checked is w ', it becomes the imaging width on image at CCD is w, and its horizontal range apart from video camera is L, has:
Wherein, l
acand l
bcfor the pixel distance that in image, a point, b point and c are ordered, L
pa 'and L
pc 'the distance of ordering for a ' point in actual scene, c ' and p.
According to the actual width w of the target to be checked calculating, it is vehicle or pedestrian that image processing system can be judged this target to be checked, if pedestrian, this target to be checked is invalid, image processing system is controlled image capturing system and is got back to original monitoring position continuation collection image, and image processing system is proceeded step (2); If vehicle, this vehicle is target to be captured, and image processing system carries out step (4).
(4) the direction finding submodule that tests the speed of the target in image processing system is treated and is captured vehicle speed measuring, direction finding, the direction of motion of vehicle to be captured is determined by the change of distance relation of this vehicle and traffic lines, when vehicle to be captured and traffic lines are apart from becoming near, vehicle to be captured is towards traffic lines campaign, otherwise vehicle to be captured traffic lines campaign dorsad; The measurement of the speed of vehicle to be captured is to measure by the method for detection of dynamic line, specific as follows:
Image processing system is according to direction of motion and the positional information of vehicle to be captured, in image, in a certain distance in the place ahead of vehicle above-mentioned to be captured, a fixing virtual detection line is set, open timer, then image processing system detects the variation of gray scale on above-mentioned virtual detection line, when above-mentioned grey scale change surpasses threshold value, above-mentioned timer stops timing, according to the big or small corresponding relation of image and actual scene, calculate the change of distance that the vehicle to be captured in actual scene occurs in above-mentioned timing time, according to the distance of above-mentioned variation and above-mentioned timing time, calculate again the speed of vehicle to be captured.
When the target direction finding submodule that tests the speed completes to treat and captures after vehicle speed measuring, direction finding, image processing system starts target prodiction submodule, this submodule is according to capturing this vehicle to be captured position in camera field of view when capturing vehicle wait capturing the speed of vehicle and the delay time predicted picture acquisition system of direction and video camera in evidence obtaining, and this position is evidence obtaining position.
(5) the hardware controls submodule in image processing system turns to evidence obtaining position and focuses simultaneously according to the evidence obtaining position control image capturing system of the vehicle to be captured of prediction, then control image capturing system and grab information the preservation video recording of being afraid of vehicle to be captured, now obtain license plate information and the line ball evidence of vehicle to be captured.
(6) after image capturing system collection image finishes, image processing system is controlled image capturing system and is got back to the image acquisition work that monitoring position is proceeded step (1).
(7) image processing system uploads to higher level's server by result and target to be captured evidence in violation of rules and regulations, then proceed step (2), this evidence can upload in higher level's server by cable network or wireless network, can upload information in the very first time that obtains evidence, also can within the time setting, upload, according to the definite selection of concrete needs is any, uploads mode and upload the cycle.
It should be noted that, above-described embodiment does not limit the present invention in any form, and all employings are equal to replaces or technical scheme that the mode of equivalent transformation obtains, all drops in protection scope of the present invention.
Claims (10)
1. detection and a method of capturing violation vehicle, is characterized in that, comprises the following steps:
(1) image capturing system forms sample video by gathering continuous single-frame images;
(2) the sample video that the real-time above-mentioned image capturing system of reception of image processing system transmits also detects the single frames of sample video, and while having target in violation of rules and regulations in above-mentioned single frames, this target is target to be checked;
(3) image processing system calculates the actual size of above-mentioned target to be checked according to the big or small corresponding relation of image and actual scene, according to the above-mentioned target to be checked of actual size judgement of above-mentioned target to be checked, be vehicle or pedestrian, if pedestrian, this target to be checked is invalid target, and image processing system is proceeded step (1); If vehicle, this target to be checked, as target to be captured, enters step (4);
(4) image processing system to target above-mentioned to be captured test the speed, direction finding, and wait capturing the movement velocity of target and the delay time of direction of motion and above-mentioned image capturing system, predict above-mentioned position when capturing the corresponding vehicle of target in evidence obtaining candid photograph according to above-mentioned, this position is evidence obtaining position;
(5) image processing system is captured and perpetuation of testimony image according to the above-mentioned image capturing system of above-mentioned evidence obtaining position control;
(6) after above-mentioned image capturing system is captured and finished, above-mentioned image processing system is controlled above-mentioned image capturing system and is got back to the image acquisition work that monitoring position is proceeded step (1);
(7) image processing system uploads to higher level's server by above-mentioned result and above-mentioned target evidence in violation of rules and regulations;
In above-mentioned steps (3), image processing system calculates the actual size of above-mentioned target to be checked according to the big or small corresponding relation of image and actual scene, and concrete grammar is:
The field angle of video camera is θ
fov, focal length is that f, setting height(from bottom) are that the pixel dimension of h, CCD is l, the p if the vertical curve at video camera place and ground intersect at a point, a' is target to be checked position on the ground, b', c' are 2 points that ground and field of view edge intersect, the distance that b' is ordered to above-mentioned p is less than the distance that c' is ordered to above-mentioned p, and the horizontal range of a' and video camera is L
pa', above-mentioned some a', b' become location of pixels corresponding on image to be respectively a, b and c with c' at above-mentioned CCD, and the optical axis that oo' is video camera, can obtain the location point a' at target to be checked place in actual scene and the horizontal range L of video camera according to above-mentioned information
pa', computing formula is:
If the actual width of jobbie is w', it becomes the imaging width on image at CCD is w, and its horizontal range apart from video camera is L, has
Wherein, l
acand l
bcfor the pixel distance that in image, a point, b point and c are ordered, L
pa'and L
pc'for the distance that in actual scene, a' point, c' point and p are ordered.
2. detection according to claim 1 and the method for capturing violation vehicle, it is characterized in that, in above-mentioned steps (2), image processing system adopts the method based on background difference to detect above-mentioned target, concrete, in image, be provided with a virtual detection line corresponding with traffic lines size and location in actual scene, image processing system carries out line scanning to above-mentioned virtual detection line, when having continuously the gray-scale value of multirow to surpass threshold value, the above-mentioned target area detecting and virtual detection line region have overlapping, and traffic lines are got over, pressed to above-mentioned target.
3. detection according to claim 2 and the method for capturing violation vehicle, is characterized in that, in above-mentioned steps (4), the direction of motion of target above-mentioned to be captured is determined by the change of distance relation of target above-mentioned to be captured and above-mentioned traffic lines; The measurement of the speed of target above-mentioned to be captured is to measure by the method for detection of dynamic line.
4. detection according to claim 3 and the method for capturing violation vehicle, it is characterized in that, the target velocity measuring method to be captured of above-mentioned detection of dynamic line is: image processing system is according to the direction of motion of target above-mentioned to be captured and positional information, in image, in a certain distance in the place ahead of target above-mentioned to be captured, a fixing virtual detection line is set, open timer, then image processing system detects the variation of gray scale on above-mentioned virtual detection line, when above-mentioned grey scale change surpasses threshold value, above-mentioned timer stops timing, according to the big or small corresponding relation of image and actual scene, calculate the change of distance that the target to be captured in actual scene occurs in above-mentioned timing time, according to the distance of above-mentioned variation and above-mentioned timing time, calculate again the speed of target above-mentioned to be captured.
5. detection according to claim 1 and the method for capturing violation vehicle, it is characterized in that, in above-mentioned steps (5), the concrete grammar that image processing system is controlled above-mentioned image capturing system candid photograph perpetuation of testimony image is: the movement locus of the target above-mentioned to be captured that image processing system obtains according to prediction, controlling above-mentioned image capturing system focuses and rotary manipulation according to the track of above-mentioned prediction, the tracking of realization to target above-mentioned to be captured, when focusing finishes, target above-mentioned to be captured is captured to operation, finally preserve the picture rich in detail that evidence is captured in above-mentioned evidence obtaining.
6. based on detection claimed in claim 1 and the device of capturing the method for violation vehicle, it is characterized in that, comprise: for gather the image capturing system of image by hardware, for the image that above-mentioned image capturing system is collected, decode, detect, demarcate the image processing system of processing and result being uploaded and the hardware of above-mentioned image capturing system is controlled, the image visual field of above-mentioned image capturing system is that long and narrow bearing of trend square and narrow rectangular long limit is consistent with road direction; Above-mentioned image capturing system is included in and under the control of above-mentioned image processing system, carries out the static video camera that gathers image and dynamic acquisition image; Above-mentioned image capturing system also comprises for loading above-mentioned video camera also can do the The Cloud Terrace of level and luffing; Above-mentioned The Cloud Terrace is provided with high precision angular encoder and variable speed controllable motor.
7. detection according to claim 6 and the device of capturing violation vehicle, is characterized in that, above-mentioned image processing system comprises: the image processing module of decoding, detect, demarcating for the image that above-mentioned image capturing system is collected; For control the image acquisition control module of action of the hardware of above-mentioned image capturing system according to the result of above-mentioned image processing module; For uploading the data upload module of above-mentioned result.
8. detection according to claim 7 and the device of capturing violation vehicle, is characterized in that, above-mentioned image processing module comprises:
The video decode submodule decompressing for the compressed video that above-mentioned image capturing system is obtained;
For the vision signal restoring according to above-mentioned video decode submodule, detect the target detection submodule of target in violation of rules and regulations;
For according to the parameter of above-mentioned video camera, set up the image calibration submodule of the big or small corresponding relation of image and actual scene;
For calculating the movement velocity of above-mentioned target of actual scene and the target of the direction of motion direction finding submodule that tests the speed;
Be used for predicting when above-mentioned video camera is captured target that target is at the target prodiction submodule of the position of camera field of view.
9. detection according to claim 7 and the device of capturing violation vehicle, it is characterized in that, above-mentioned image acquisition control module comprises: for control above-mentioned image capturing system according to the result of above-mentioned image processing module, capture target, preserve view data, preserve the hardware controls submodule of the video record of above-mentioned target process in violation of rules and regulations simultaneously.
10. detection according to claim 7 and the device of capturing violation vehicle, it is characterized in that, above-mentioned data upload module comprises: the evidence data upload submodule that uploads to network for image in violation of rules and regulations of target that above-mentioned image capturing system is obtained and video evidence.
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| CN103366569B (en) * | 2013-06-26 | 2015-10-07 | 东南大学 | The method and system of real-time grasp shoot traffic violation vehicle |
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