CN102693632A - Monitoring device and monitoring method based on visual image - Google Patents
Monitoring device and monitoring method based on visual image Download PDFInfo
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Abstract
The invention provides a monitoring device and a monitoring method based on a visual image. The device comprises a focusing camera, an electric rotational station for controlling omni-directional rotation of the camera, and a monitoring processor for controlling the camera and the electric rotational station and receiving and processing data information fed back by the camera and the electric rotational station. The monitoring processor comprises a human-computer interaction module, a camera control module, a target detection module, an image calibration module and a video conversion module. The method for applying the device to monitor a specific target can be applied in two working modes: ifa target image in a panoramic monitoring video is not distinct,a monitoring system employs real-time monitoring, detection, tracking and automatic focusing to capturea high definition image of the target; and if a target image in the panoramic monitoring video is distinct, video recording and then analyzing are employed for monitoring, and video can be played backwards. Different working modes are employed according to different situations to guarantee that image and the video containingthe distinct features of the specific image target can be finally obtained.
Description
Technical field
The invention belongs to security protection and intelligent transportation field, be specifically related to a kind of supervising device and method for supervising based on visual pattern.
Background technology
Along with the high speed development of Chinese society, security protection and traffic problems are remarkable day by day, and this is to people's trip, even life security has all produced great influence.
Supervising device based on visual pattern; With special advantages, obtained very wide application, for example be installed on the road monitoring whether have vehicle etc. more, pressed double amber lines to go in violation of rules and regulations; Whether there is vehicle etc. to ride on the stop line, also or whether monitoring has vehicle etc. to be parked in the prohibition parking area territory.To some application scenarios; For example at freeway toll station; Whether should monitor has vehicle to get over, pressed the middle double amber lines of road to go in violation of rules and regulations; Whether have rule-breaking vehicle stop, and need capture evidence obtaining to those vehicles in violation of rules and regulations if monitoring again apart from charge station a distance, need guarantee that simultaneously the image forensic or the video that obtain are clearly.Yet the mode of operation of existing supervising device is more single, and a cover supervising device can not satisfy above-mentioned multiple requirement simultaneously, can not realize above-mentioned multiple function simultaneously, often needs the different supervising device of two covers to carry out function separately respectively.So existing supervising device ubiquity shortcomings such as monitoring range is little, function singleness, specific aim difference.
Summary of the invention
For solving the deficiency of prior art; The object of the present invention is to provide a kind of have multi-functional supervising device and method for supervising; According to specific image target clear employing different working pattern whether, final image and the video recording that obtains to contain the clear characteristic of specific image target.
In order to realize above-mentioned target, the present invention adopts following technical scheme:
A kind of supervising device based on visual pattern is characterized in that, comprising:
Through programmed control and the video camera that can focus,
The electric platform of the comprehensive rotation of the aforementioned video camera of variable speed controllable Electric Machine Control that is provided with through self,
Be used to control aforementioned video camera and electric platform and receive and handle aforementioned video camera and the monitoring processor of electric platform institute feedback data information;
The wire communication that aforementioned video camera, electric platform and monitoring processor constitute the ability transfer data information is connected or the wireless telecommunications connection.
Aforesaid a kind of supervising device based on visual pattern; It is characterized in that; Aforementioned electric platform is provided with the angular encoder that is used for the video camera rotation information is fed back to aforementioned monitoring processor, and aforementioned angular encoder is connected with aforementioned monitoring processor formation wire communication or wireless telecommunications connect.
Aforesaid a kind of supervising device based on visual pattern is characterized in that aforementioned monitoring processor comprises:
The human-computer interaction module that is used for data message input, feedback,
Be used to control the video camera control module of aforementioned video camera and electric platform,
The module of target detection that the target of the view data that is used for aforementioned video camera is obtained detects,
The video that is used for that aforementioned video camera is obtained is changed with the video conversion module that realizes that subsequent treatment and inverted order are play,
Be used for setting up the image demarcating module of the corresponding relation of image and actual scene according to camera parameters.
Aforesaid a kind of supervising device based on visual pattern; It is characterized in that; Aforementioned resolution of video camera more than 1080 * 1920, the high definition high-speed camera that can in level 360 degree, vertical 180 degree scopes, rotate, the image visual field of aforementioned high definition high-speed camera is that the bearing of trend on long and narrow square and long and narrow square long limit is consistent with road direction.
The method for supervising of aforesaid device is characterized in that, comprises the steps:
One, supervising device initialization:
(1) is used to carry out the initial parameter that image is demarcated through above-mentioned human-computer interaction module input; The initial parameter of input comprises: the setting height(from bottom) of aforementioned video camera, actual monitored scope, be in the optical parametric and the image parameter of general monitor state video camera of following time, and aforementioned initial parameter is kept in the monitoring processor;
(2) earlier figures image scale cover half piece is set up the corresponding relation of image and actual scene according to aforementioned initial parameter; Setting needs the parameter of the realistic objective of monitoring; Set up the parameter that corresponds in the image with reference to aforementioned corresponding relation and assert condition, qualified image object is the specific image target;
(3) aforementioned monitoring processor is controlled aforementioned video camera and is begun to monitor aforementioned actual monitored scope; Draw in the aforementioned actual monitored scope to have and judge whether in violation of rules and regulations actual detected zone of target; The corresponding image range of aforementioned actual monitored scope is the picture control scope, and the corresponding image in aforementioned actual detected zone is the virtual detection zone;
Two, the selection of the triggering of image object and mode of operation: after aforementioned specific image target occurring in the video single-frame images of aforementioned its reception of monitoring processor discovery; Then the video that has received is detected; Judge wherein whether to contain the high-resolution single frames picture that can show specific image target identification characteristic, aforementioned specific image target identification characteristic is meant can be according to the characteristics of image of the physical features of its corresponding realistic objective of image identifying of specific image target; If do not contain, then adopt the first evidence obtaining mode of operation; If contain, then adopt the second evidence obtaining mode of operation;
Three, collect evidence, obtain also to preserve the image forensic data message: aforementioned monitoring processor and video camera match and adopt processings of collecting evidence of the aforementioned first evidence obtaining mode of operation or the second evidence obtaining mode of operation, and acquisition is preservation image forensic data message also.
Aforesaid method for supervising is characterized in that, the detailed process of the aforementioned first evidence obtaining mode of operation is:
(1) video camera is through gathering the monitor video that continuous single frames obtains current scene;
(2) monitoring processor obtains the single frames of a current scene at regular intervals from aforementioned monitor video; Whether utilize the background subtraction point-score to detect has the specific image target to get into the virtual detection zone in the single frames of aforementioned current scene; If the specific image target does not get into aforementioned virtual detection zone, then aforementioned monitoring processor repeating step (2); If the specific image target has got into aforementioned virtual detection zone, then aforementioned monitoring processor picks up counting, and carries out step (3), and this timing time is the specific objective acknowledging time;
(3) monitoring processor obtains the single frames of a current scene at regular intervals from aforementioned monitor video; Whether the virtual detection zone that utilizes the background subtraction point-score to detect in the aforementioned single frames also has the specific image target; If no, then aforementioned monitoring processor repeating step (2); If have, and aforementioned specific objective acknowledging time do not reach pre-set threshold, then repeating step (3); If have, and aforementioned specific objective acknowledging time reaches pre-set threshold, and then aforementioned monitoring processor is controlled the aforementioned specific objective of aforementioned camera and focused and capture.
Aforesaid method for supervising is characterized in that, the detailed process of the aforementioned second evidence obtaining mode of operation is:
(1) monitoring processor control video camera is recorded a video to guarded region, and is every at a distance from video of set time camera switching, and the video of recording end gets into step (2) as pending video;
(2) whether monitoring processor gets into aforementioned virtual detection zone to the specific image target in the single frames of aforementioned pending video and detects, if do not get into, then changes single frames and proceeds step (2); If got into; Then monitoring processor predicts that aforementioned specific image target arrives the image evidence obtaining needed time of position; This time is for looking ahead the card time; Earlier figures picture evidence obtaining position is the position in the correspondence image of target evidence obtaining position, and aforementioned target evidence obtaining position is that video camera obtains the specific objective position that specific objective belongs to during the image forensic data message clearly in actual scene, and this pending video advances like step (3) as the evidence obtaining video;
(3) aforementioned monitoring processor carries out the video direction finding to aforementioned specific image target and picks up counting, if aforementioned specific image target is moved to the direction near video camera, then aforementioned monitoring processor still reads the single frames of aforementioned evidence obtaining video with normal sequence; If to the direction motion away from video camera, then aforementioned monitoring processor begins the single frames that inverted order reads aforementioned evidence obtaining video;
(4) monitoring processor time of reading aforementioned evidence obtaining video arrives the aforementioned card of looking ahead during the time, preserves the evidence obtaining single frames and the aforementioned evidence obtaining video of current time.
Usefulness of the present invention is: the user manually delimit the virtual detection zone as required, have usable range widely; In the picture control scope, to the pairing specific image target of specific objective clear employing different working pattern whether in single frames, final image and the video recording that obtains to contain the clear characteristic of specific image target.
Description of drawings
Fig. 1 be a kind of supervising device based on visual pattern of the present invention a specific embodiment install and use synoptic diagram;
Fig. 2 is the schematic top plan view of a concrete application scenarios of a kind of supervising device based on visual pattern of the present invention;
Fig. 3 is of the present invention a kind of based on the demarcation synoptic diagram of spotting in the method for supervising of visual pattern apart from the true horizon distance and the actual size of video camera;
Fig. 4 is the main flow synoptic diagram of two kinds of mode of operations in the specific embodiment of a kind of method for supervising based on visual pattern of the present invention;
Fig. 5 is the idiographic flow synoptic diagram of second kind of mode of operation among Fig. 4;
The implication of Reference numeral among the figure:
The 1-video camera, 2-electric platform, 3-monitoring processor, 4-first surveyed area, 5-second surveyed area, 6-image evidence obtaining position.
Embodiment
Below in conjunction with accompanying drawing and specific embodiment the present invention is done concrete introduction.
With reference to Fig. 1, a kind of supervising device based on visual pattern of the present invention comprises: video camera 1, electric platform 2 and monitoring processor 3, the wire communication that constitutes the ability transfer data information each other connects or the wireless telecommunications connection.
As a kind of preferred scheme, video camera 1 is for having the video camera of electronic three variable lenses.
As a kind of preferred scheme, for can capturing and record out the image of high-resolution, video camera 1 be resolution more than 1920 * 1080, and in 360 ° of levels, vertical 180 ° of scopes, all can do the high definition high-speed camera that speed change is rotated.
When the ratio of the zone length of needs monitoring and width greatly the time; As a kind of preferred scheme, the image visual field of video camera 1 is long and narrow square, and the bearing of trend on long and narrow square long limit is consistent with road direction; Not only enlarged monitoring range; And gather less than image for the regional video camera that need not monitor beyond the road 1, so also saved the time of monitoring processor 3 image data processing information, improved operation efficiency.
The 1 comprehensive rotation of electric platform 2 (not shown) control video camera self is provided with variable speed controllable motor (not shown).
As a kind of preferred scheme, electric platform 2 is provided with angular encoder (not shown), and angular encoder is connected with monitoring processor 3 formation wire communications or wireless telecommunications connect, and is used for video camera 1 rotation information is fed back to monitoring processor 3.Electric platform 2 with variable speed controllable motor and angular encoder has guaranteed that video camera 1 can, rotating speed slow miss candid photograph target little because of corner.
As a kind of preferred scheme, monitoring processor 3 comprises: human-computer interaction module, video camera control module, module of target detection, video conversion module and image demarcating module.
Human-computer interaction module: be used for input and the feedback of data message and data message is kept at monitoring processor; Data message comprises: the setting height(from bottom) of video camera 1, actual monitored scope, be in the optical parametric and the image parameter of general monitor state video camera of following time 1, for example pixel dimension of the focal length of video camera 1, CCD etc.
Video camera control module: according to the work of monitoring processor 1 pair of data message process result control video camera 1 and electric platform 2.
Whether module of target detection: the target in the view data that video camera 1 is obtained detects, just have target to occur in the detected image.
Video conversion module: the video to video camera 1 is obtained is changed to realize making things convenient for subsequent treatment and inverted order to play; Be mainly reflected in interval between the key frame in the video that reduction camera 1 obtained, video is carried out inverted order play, key frame is meant by module of target detection and detects to containing the frame of specific image target.
Image demarcating module: set up the corresponding relation of image and actual scene according to the parameter of video camera 1; Parameter comprises: the setting height(from bottom) of video camera 1, actual monitored scope, the optical parametric that is in general monitor state video camera of following time 1 and image parameter etc.; Corresponding relation through image and actual scene; Just can obtain the clarification of objective information in the actual scene after view data handled, for example the position at specific objective place, the size of a certain Place object.
Utilize above-mentioned supervising device to monitor, for the ease of understanding, with reference to Fig. 2, being applied in freeway toll station with supervising device is that example describes, and details are as follows for method for supervising:
After watch-dog installs and switches on; The user is through " calibration information " function button on the guidance panel (not shown) of clicking monitoring processor; Calibration information such as the pixel dimension of the focal length of video camera 1, field angle, CCD, setting height(from bottom), actual monitored scope are kept in the monitoring processor 3 through human-computer interaction module, analyze, judge the basis of the big or small corresponding relation of image and actual scene as monitoring processor 3; The user is through " surveyed area " function button on the clicking operation panel; Virtual detection according to different monitoring needs draw to be detected with mouse on the picture of image is regional; This virtual detection zone is corresponding with the actual seized zone in the actual scene; In the present embodiment; Actual seized zone is the double amber lines and the vehicle prohibition parking area territory that is located at the road both sides beyond charge station's certain distance in the middle of the freeway toll station road nearby, and note is made first surveyed area 4, second surveyed area 5 respectively, and is regional to first virtual detection zone, second virtual detection should be arranged respectively in image; Human-computer interaction module is preserved first virtual detection zone and second virtual detection zone of delimiting, and waits for that monitored processor 3 calls in follow-up processing procedure.
Then, image demarcating module in the monitoring processor 3 is set up the corresponding relation of image and actual scene according to being kept at parameter in the human-computer interaction module, and with reference to Fig. 3, specifically computing method are following:
The field angle of supposing video camera 1 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 1 place and ground intersect at a point, a ' is target position on the ground, b ', c ' they are 2 points that ground and field of view edge intersect, the distance that the distance that b ' is ordered to p is ordered to p less than c ', a ' is L with the horizontal range of video camera 1
Pa ', some a ', b ' become at CCD with c ' that pixel position corresponding is respectively a, b and c on the image, and oo ' is the optical axis of video camera 1, then can obtain target belongs in the actual scene the location point a ' and the horizontal range L of video camera 1 according to above-mentioned data message
Pa ':
If the actual width of target is w ', it becomes the imaging width on the image at CCD is w, and its horizontal range apart from video camera 1 is L, then has:
Wherein, l
AcAnd l
BcBe the pixel distance that a point, b point and c in the image are ordered, L
Pa 'And L
Pc 'The distance of ordering for a ' point in the actual scene, c ' and p.
The user just can set up the parameter that corresponds in the image with reference to above-mentioned corresponding relation and assert condition according to the parameter of the realistic objective of actual conditions setting needs monitoring, and qualified image object is the specific image target.
Next; Video camera 1 carries out self check and initialize routine with monitoring processor 3; 1 beginning of monitoring processor 3 control video cameras is monitored in the actual monitored scope then; And begin the target that gets into first virtual detection zone, second virtual detection zone is detected, be exactly that double amber lines in the middle of the freeway toll station road nearby and the pairing image section in vehicle prohibition parking area territory that is located at the road both sides beyond charge station's certain distance are detected in the present embodiment.
Since vehicle be must be through charge station the gateway; And not necessarily stop in the prohibition parking area territory, so with the focal length of video camera 1 be located at the gateway near, so; The image that near target video camera 1 through the gateway time is obtained all is clearly; Certainly since video camera 1 set focus nearby, so take when the target in relatively at a distance prohibition parking area territory, the image that video camera 1 is obtained all is unsharp.
Certainly, need to prove that the user can also be according to the needs of actual conditions, focal length be arranged on from the camera lens of video camera 1 at a distance that so the image of the target of the camera lens closer of video camera 1 is unsharp.So the setting of focal length is not limited to shown in the present embodiment.
In the present embodiment; If detecting vehicle occurs in charge station at a distance; Because beyond the focal range of video camera 1, so the image of the virtual vehicle that obtains is unsharp, virtual vehicle is meant image section corresponding with actual vehicle in the image; Monitoring processor 3 adopts the first evidence obtaining mode of operation to carry out the processing of image data information, that is:
(1) video camera 1 is gathered the monitor video that continuous single frames obtains current scene in real time;
(2) monitoring processor 3 obtains the single frames of a current scene at regular intervals from video camera 1; Whether utilize the background subtraction point-score to detect has virtual vehicle to get into second virtual detection zone in this single frames; If virtual vehicle does not get into second virtual detection zone, then monitoring processor 3 repeating steps (2); If virtual vehicle has got into second virtual detection zone, then monitoring processor 3 picks up counting, and carries out step (3); This timing time is the specific vehicle acknowledging time, and the purpose of setting this specific vehicle acknowledging time is in order to prevent wrong judgement target, to be presented as in the present embodiment; The vehicle that prevents to cross the prohibition parking area territory is judged in this zone and stops, if the specific vehicle acknowledging time of vehicle has surpassed prior preset threshold, and this vehicle is also in this zone; Then confirm its certain violation, collect evidence, should the zone if left at this vehicle of also no show threshold value of specific vehicle acknowledging time; Do not assert that then it in violation of rules and regulations, need not to collect evidence.
(3) monitoring processor 3 obtains the single frames of a current scene at regular intervals from above-mentioned monitor video; Whether the second virtual detection zone that utilizes the background subtraction point-score to detect in this single frames also has virtual vehicle; If no, monitoring processor 3 repeating steps (2) then; If have, and the specific vehicle acknowledging time do not reach pre-set threshold, then repeating step (3); If have; And the specific vehicle acknowledging time reaches pre-set threshold; Explain that this vehicle has rested on this prohibition parking area territory really; Need collect evidence,, and preserve this image forensic data message so the vehicle that monitoring processor 3 control video cameras 1 are aimed in this prohibition parking area territory is focused, captured.
Occur in charge station's closer if detect vehicle, because in the focal range of video camera 1, so the image of the virtual vehicle that obtains is clearly, monitoring processor 3 adopts the second evidence obtaining mode of operation to carry out the processing of image data information, that is:
(1) 1 pair of guarded region of monitoring processor 3 control video cameras is recorded a video, and every at a distance from video of set time video camera 1 switching, the video of recording end gets into step (2) as pending video;
(2) whether the virtual vehicle in the single frames of 3 pairs of pending videos of monitoring processor gets into the first virtual detection zone and detects; Just whether got over, pressed the middle double amber lines of road to detect to vehicle; If do not get into, then change single frames and proceed step (2); If got into; As a kind of preferred scheme; 3 pairs of virtual vehicle of monitoring processor are carried out video frequency speed-measuring, obtain this virtual vehicle and arrive the image evidence obtaining needed time of position, and this time is for looking ahead the card time; This image evidence obtaining position is the position in the correspondence image of target evidence obtaining position; This target evidence obtaining position is that video camera 1 obtains the vehicle position that vehicle belongs to during the image forensic data message clearly in actual scene, thus target evidence obtaining position than the regional position of first virtual detection more near the camera lens of video camera 1, predict that through video frequency speed-measuring virtual vehicle arrival image needed time of position of collecting evidence is more accurate; Next, this pending video advances like step (3) as the evidence obtaining video;
(3) 3 pairs of virtual vehicle of monitoring processor are carried out the video direction finding and are picked up counting; If this virtual vehicle is to the direction motion near video camera 1; Explain and also do not arrive target evidence obtaining position; Then monitoring processor 3 still reads the single frames of this evidence obtaining video with normal sequence, and the time of reading the evidence obtaining video when monitoring processor 3 arrives the above-mentioned card of looking ahead during the time, explain that in violation of rules and regulations vehicle has arrived target and collected evidence near position or its; The image of this violation vehicle of video camera 1 acquisition this moment is clearly, and monitoring processor 3 is preserved the evidence obtaining single frames and the above-mentioned evidence obtaining video of current times.If find that through the video direction finding virtual vehicle is to the direction motion away from video camera 1; Then monitoring processor 3 detect vehicle more, when pressing double amber lines; This vehicle has passed through target evidence obtaining position, and in order to obtain the clear single frames of vehicle in target evidence obtaining position, monitoring processor 3 calls video conversion module to carry out inverted order to the evidence obtaining video and read its single frames; The time of reading the evidence obtaining video when inverted order arrives the above-mentioned card of looking ahead during the time; Explain that in violation of rules and regulations vehicle has arrived near target evidence obtaining position or its, this moment, the image of this violation vehicle that video camera 1 obtains was clearly, the evidence obtaining single frames and the above-mentioned evidence obtaining video of monitoring processor 3 preservation current times.
As a kind of preferred scheme; If it is little to get into the changes in vehicle speed of second surveyed area 5; The vehicle of running on expressway for example; Monitoring processor 3 just need not earlier through video frequency speed-measuring prediction prefetch card time more so, as long as look ahead the card time according to look ahead card time and minimum of maximum of ultimate value prediction of speed, the ultimate value of speed is usually: average velocity * (1 ± 20%); It still be reverse read evidence video that monitoring processor 3 selects normal sequence to read the evidence video according to the video direction finding again, and is kept at look ahead many single frames of card time and the maximum evidence video of card between the time of looking ahead of minimum and reaches this evidence obtaining video.The speed of target travel is known in this method, has saved the video frequency speed-measuring step, has simplified computation process greatly.
As a kind of preferred scheme; If it is apparent in view to get into the target signature difference of second surveyed area 5; For example the size of target has bigger difference, and monitoring processor 3 also need not the prediction prefetch card time so, as long as extract this clarification of objective; Selecting normal sequence to read the evidence video according to the video direction finding then still is reverse read evidence video; According to the characteristic of extracting this target is followed the tracks of again, when target arrives target evidence obtaining position, be kept at the single frames that contains the clear characteristic of target and this evidence video that obtain here.
For the video to be checked that video camera 1 obtains, only preserve and contain the target evidence obtaining video of evidence in violation of rules and regulations, for wherein there not being target video to be checked in violation of rules and regulations then not preserve; That is to say; The video that monitoring processor 3 is preserved all is to contain target evidence in violation of rules and regulations, has so improved the speed of obtain evidence video greatly, has reduced workload; Improve work efficiency, also optimized the configuration of resource simultaneously.
Need to prove that the foregoing description does not limit the present invention in any form, all employings are equal to the technical scheme that mode obtained of replacement or equivalent transformation, all drop in protection scope of the present invention.
Claims (7)
1. the supervising device based on visual pattern is characterized in that, comprising:
Through programmed control and the video camera that can focus,
The electric platform of the comprehensive rotation of the above-mentioned video camera of variable speed controllable Electric Machine Control that is provided with through self,
Be used to control above-mentioned video camera and electric platform and receive and handle above-mentioned video camera and the monitoring processor of electric platform institute feedback data information;
The wire communication that above-mentioned video camera, electric platform and monitoring processor constitute the ability transfer data information is connected or the wireless telecommunications connection.
2. a kind of supervising device according to claim 1 based on visual pattern; It is characterized in that; Above-mentioned electric platform is provided with the angular encoder that is used for the video camera rotation information is fed back to above-mentioned monitoring processor, and above-mentioned angular encoder is connected with above-mentioned monitoring processor formation wire communication or wireless telecommunications connect.
3. a kind of supervising device based on visual pattern according to claim 1 is characterized in that above-mentioned monitoring processor comprises:
The human-computer interaction module that is used for data message input, feedback,
Be used to control the video camera control module of above-mentioned video camera and electric platform,
The module of target detection that the target of the view data that is used for above-mentioned video camera is obtained detects,
The video that is used for that above-mentioned video camera is obtained is changed with the video conversion module that realizes that subsequent treatment and inverted order are play,
Be used for setting up the image demarcating module of the corresponding relation of image and actual scene according to camera parameters.
4. according to the described a kind of supervising device of any claim of claim 1 to claim 3 based on visual pattern; It is characterized in that; Above-mentioned video camera be resolution more than 1080 * 1920, the high definition high-speed camera that can in level 360 degree, vertical 180 degree scopes, rotate, the image visual field of above-mentioned high definition high-speed camera is that the bearing of trend on long and narrow square and long and narrow square long limit is consistent with road direction.
5. utilize the method for supervising of device as claimed in claim 1, it is characterized in that, comprise the steps:
One, supervising device initialization:
(1) is used to carry out the initial parameter that image is demarcated through above-mentioned human-computer interaction module input; The initial parameter of input comprises: the setting height(from bottom) of above-mentioned video camera, actual monitored scope, be in the optical parametric and the image parameter of general monitor state video camera of following time, and above-mentioned initial parameter is kept in the monitoring processor;
(2) above-mentioned image demarcating module is set up the corresponding relation of image and actual scene according to above-mentioned initial parameter; Setting needs the parameter of the realistic objective of monitoring; Set up the parameter that corresponds in the image with reference to above-mentioned corresponding relation and assert condition, qualified image object is the specific image target;
(3) above-mentioned monitoring processor is controlled above-mentioned video camera and is begun to monitor above-mentioned actual monitored scope; Draw in the above-mentioned actual monitored scope to have and judge whether in violation of rules and regulations actual detected zone of target; The corresponding image range of above-mentioned actual monitored scope is the picture control scope, and the corresponding image in above-mentioned actual detected zone is the virtual detection zone;
Two, the selection of the triggering of image object and mode of operation: after above-mentioned specific image target occurring in the video single-frame images of above-mentioned its reception of monitoring processor discovery; Then the video that has received is detected; Judge wherein whether to contain the high-resolution single frames picture that can show specific image target identification characteristic, above-mentioned specific image target identification characteristic is meant can be according to the characteristics of image of the physical features of its corresponding realistic objective of image identifying of specific image target; If do not contain, then adopt the first evidence obtaining mode of operation; If contain, then adopt the second evidence obtaining mode of operation;
Three, collect evidence, obtain also to preserve the image forensic data message: above-mentioned monitoring processor and video camera match and adopt processings of collecting evidence of the above-mentioned first evidence obtaining mode of operation or the second evidence obtaining mode of operation, and acquisition is preservation image forensic data message also.
6. method for supervising according to claim 5 is characterized in that, the detailed process of the above-mentioned first evidence obtaining mode of operation is:
(1) video camera is through gathering the monitor video that continuous single frames obtains current scene;
(2) monitoring processor obtains the single frames of a current scene at regular intervals from above-mentioned monitor video; Whether utilize the background subtraction point-score to detect has the specific image target to get into the virtual detection zone in the single frames of above-mentioned current scene; If the specific image target does not get into above-mentioned virtual detection zone, then above-mentioned monitoring processor repeating step (2); If the specific image target has got into above-mentioned virtual detection zone, then above-mentioned monitoring processor picks up counting, and carries out step (3), and this timing time is the specific objective acknowledging time;
(3) monitoring processor obtains the single frames of a current scene at regular intervals from above-mentioned monitor video; Whether the virtual detection zone that utilizes the background subtraction point-score to detect in the above-mentioned single frames also has the specific image target; If no, then above-mentioned monitoring processor repeating step (2); If have, and above-mentioned specific objective acknowledging time do not reach pre-set threshold, then repeating step (3); If have, and above-mentioned specific objective acknowledging time reaches pre-set threshold, and then above-mentioned monitoring processor is controlled the above-mentioned specific objective of above-mentioned camera and focused and capture.
7. method for supervising according to claim 5 is characterized in that, the detailed process of the above-mentioned second evidence obtaining mode of operation is:
(1) monitoring processor control video camera is recorded a video to guarded region, and is every at a distance from video of set time camera switching, and the video of recording end gets into step (2) as pending video;
(2) whether monitoring processor gets into above-mentioned virtual detection zone to the specific image target in the single frames of above-mentioned pending video and detects, if do not get into, then changes single frames and proceeds step (2); If got into; Then monitoring processor predicts that above-mentioned specific image target arrives the image evidence obtaining needed time of position; This time is for looking ahead the card time; Above-mentioned image evidence obtaining position is the position in the correspondence image of target evidence obtaining position, and above-mentioned target evidence obtaining position is that video camera obtains the specific objective position that specific objective belongs to during the image forensic data message clearly in actual scene, and this pending video advances like step (3) as the evidence obtaining video;
(3) above-mentioned monitoring processor carries out the video direction finding to above-mentioned specific image target and picks up counting, if above-mentioned specific image target is moved to the direction near video camera, then above-mentioned monitoring processor still reads the single frames of above-mentioned evidence obtaining video with normal sequence; If to the direction motion away from video camera, then above-mentioned monitoring processor begins the single frames that inverted order reads above-mentioned evidence obtaining video;
(4) monitoring processor time of reading above-mentioned evidence obtaining video arrives the above-mentioned card of looking ahead during the time, preserves the evidence obtaining single frames and the above-mentioned evidence obtaining video of current time.
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Cited By (24)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103325256A (en) * | 2013-06-29 | 2013-09-25 | 佘若凡 | Binocular video road traffic incident detection system |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1440005A (en) * | 2002-12-30 | 2003-09-03 | 北京市振隆科技发展公司 | Electronic V.F. network police monitoring systems |
| WO2007148870A1 (en) * | 2006-06-21 | 2007-12-27 | Lux Technology Inc. | Apparatus for detect overspeed vehicle |
| EP1916642A1 (en) * | 2006-10-24 | 2008-04-30 | Dambach-Werke GmbH | Traffic detecting device |
| CN101789177A (en) * | 2010-02-05 | 2010-07-28 | 南京航空航天大学 | Device and method for detecting and tracking vehicles crossing and pressing the yellow line and for capturing vehicle information |
| CN101917595A (en) * | 2010-07-01 | 2010-12-15 | 李志恒 | Video monitoring system for automatically marking road section information |
| CN102394012A (en) * | 2011-06-21 | 2012-03-28 | 陆化普 | Monitoring system having preset bit function for vehicle crossing over markings and method thereof |
-
2012
- 2012-04-27 CN CN201210127924.9A patent/CN102693632B/en not_active Expired - Fee Related
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1440005A (en) * | 2002-12-30 | 2003-09-03 | 北京市振隆科技发展公司 | Electronic V.F. network police monitoring systems |
| WO2007148870A1 (en) * | 2006-06-21 | 2007-12-27 | Lux Technology Inc. | Apparatus for detect overspeed vehicle |
| EP1916642A1 (en) * | 2006-10-24 | 2008-04-30 | Dambach-Werke GmbH | Traffic detecting device |
| CN101789177A (en) * | 2010-02-05 | 2010-07-28 | 南京航空航天大学 | Device and method for detecting and tracking vehicles crossing and pressing the yellow line and for capturing vehicle information |
| CN101917595A (en) * | 2010-07-01 | 2010-12-15 | 李志恒 | Video monitoring system for automatically marking road section information |
| CN102394012A (en) * | 2011-06-21 | 2012-03-28 | 陆化普 | Monitoring system having preset bit function for vehicle crossing over markings and method thereof |
Cited By (33)
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|---|---|---|---|---|
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| CN105338317A (en) * | 2015-10-29 | 2016-02-17 | 中国邮政集团公司广州市分公司 | Monitoring method and monitoring device for mailboxes |
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