CN103473926A - Gun-ball linkage road traffic parameter collection and rule breaking snapshooting system - Google Patents
Gun-ball linkage road traffic parameter collection and rule breaking snapshooting system Download PDFInfo
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Abstract
The invention relates to a gun-ball linkage road traffic parameter collection and rule breaking snapshooting system which comprises a gun type camera, a ball type camera, a network switch, an event analysis meter, a traffic detecting software module and a signal controller. The gun-ball linkage road traffic parameter collection and rule breaking snapshooting system is characterized in that the gun type camera and the ball type camera are arranged on the front-upper position of a vehicle and are connected with the network switch which is connected with the event analysis meter, a microprocessor, the traffic detecting software module and the like are arranged in the event analysis meter, and accordingly a road intersection detecting local area network is formed and is connected to a city traffic command center through a city telecom backbone network or a special optical cable, traffic video real-time monitoring, video recording and rule-breaking vehicle track snapshooting in the road view field range are achieved, the structure is advanced and simple, snapshooting and measuring are combined perfectly, snapshooting is timely, the traffic parameters are accurate in measuring, real-time performance is wide, and the system is a foresight product for traffic video monitoring.
Description
Technical field
The present invention relates to a kind of traffic monitoring field that utilizes image recognition, particularly a kind of rifle ball interlock road traffic parameter collection and capturing system violating the regulations.
Background technology:
Along with the quick increase of automobile pollution, congestion in road has become a serious problem of urban development.In order to adapt to the needs of traffic administration, guarantee the safety of urban transportation, unimpeded, it is essential that the progressively lifting of the degree of intelligence of traffic administration becomes.The candid photograph of traffic violations behavior is also the important means tightened traffic management with standard driver's behavior.The limitation of traditional electronic police system also progressively embodies.The high-definition electronic police system that existing market is used can only carry out illegal behaviour capturing to the vehicle in first tens meters of camera lens, and some line ball lane changes, tune violating the regulations, if the unlawful practices such as parking offense occur in position far away, system can't be captured important law enforcement information such as knowing car plate.Meanwhile obtaining of traffic parameter is the important component part of traffic intelligence.Obtain traffic parameter in the mode of video analysis easy for installation with it, information is comprehensive etc., and reason more and more becomes main way.
In existing intelligent transportation system, the detection of road cross is used independent high definition rifle formula video camera road cross is detected and the break in traffic rules and regulations vehicle is captured.The traffic conditions that conventional detection mode is rifle formula camera record crossroad, the shooting direction is consistent with vehicle heading, and the candid photograph of vehicles peccancy is characterized as the car plate photo of vehicle rear.The high-definition electronic police system of current some use can only be to the candid photograph of break rules and regulations of the vehicle in first tens meters of camera lens, and some line ball lane changes, the acts of violating regulations such as parking offense usually occur in camera lens road in the rear highway section, conventional system can't effectively be captured all kinds of the breaking rules and regulations in this zone, has formed the blind spot in Road Detection zone.
Chinese invention patent (patent No. CN201010615183.X) discloses traffic intersection vehicle snapshot evidence collecting method and the system that a kind of panoramic video detects: it is " by detecting video camera, candid camera, web-transporting device, crossing or central computer, light filling equipment, the system that vertical rod and support form realizes traffic intersection vehicle snapshot evidence collecting method, the characteristics of method are, at the panorama that comprises all directions gateway above the ground perpendicular to 90 °, ground, crossing or be similar to 90 ° of mounting meanss and install one or more and detect video camera, detect the various illegal running behavioural informations of each car at crossing, be equipped with one or more candid camera on each direction of a traffic intersection, for capturing vehicle license, vehicle when illegal state, vehicle rolls the picture at crossing away from, extract the picture of vehicle when illegal state in the picture that processing unit root candid camera is captured continuously and form effective illegal evidentiary material with the illegal information that the detection video camera detects ... ".But this contrive equipment complex structure, greatly, cost performance is low for installation, using method randomness; The technology contents of this invention is disclosed insufficient, what have can not effectively implement, and the method for use is loaded down with trivial details, can only break rules and regulations to capture the evidence obtaining of filing to the vehicle of traffic intersection, also do not disclose the measuring method of many traffic parameters, let alone the warning of traffic events and traffic intelligent have been monitored.
Chinese utility model patent " the parking offense grasp shoot device based on the intellectual analysis video monitoring " (patent No.: 201220112270.8): it " comprise the panoramic camera input end of capturing violating the regulations; connect the intellectual analysis video server; and then connect Embedded Workstation; connect again the vehicle feature high definition ball machine of controlling that drives ... ...,; " but its function singleness, only have relatedly to parking offense, more can not carry out the measurement and monitoring of many traffic parameters.
Therefore, at present in the intelligent traffic monitoring field, be badly in need of a kind of simple in structure, integrate that traffic parameter is measured and the traffic monitoring system of traffic monitoring.
Summary of the invention:
The object of the invention is to overcome the prior art weak point, provide a kind of traffic parameter to measure intelligent city's road cross traffic monitoring system that accuracy rate is higher, managerial ability is stronger---rifle ball interlock road traffic parameter collection and capturing system violating the regulations.
The present invention solves the problems of the technologies described above adopted technical scheme: a kind of rifle ball interlock road traffic parameter collection and capturing system violating the regulations, and it is by rifle formula video camera, ball formula video camera, the network switch, event analysis instrument and signal controller 5 form, and rifle formula video camera and ball formula video camera are arranged on the front upper place of detected vehicle, and are connected with the network switch, the network switch is connected with the event analysis instrument, it is characterized in that, in the event analysis instrument, microprocessor is installed, traffic detects software module, and rifle formula video camera carries out road traffic conditions real-time recording within the vision, relevant traffic parameter (vehicle flowrate, instantaneous velocity, average velocity, time occupancy, queue length, time headway, lane occupancy ratio, ) video acquisition and vehicles peccancy (line ball, drive in the wrong direction, tune, make a dash across the red light, hypervelocity, ) track capture, real-time recording and vehicles peccancy feature that ball formula video camera is responsible in specific region are captured, detect LAN (Local Area Network) by the above road cross formed, it is connected to urban transportation command centre (hereinafter to be referred as backstage) by city telecommunications backbone network or special optical cable, thereby realizes the real-time monitoring to the road cross traffic.
By described scheme, the traffic of installing in described event analysis instrument detects software module and contains:
(1) video flowing load module
(2) video decode module
(3) the numerical measuring module of all traffic parameters
(4) analysis module
(5) control signal module
(6) twin camera interlocking module
(7) the ball machine is captured module
(8) violation picture synthesis module
(9) violation picture transport module
Rifle formula video camera and ball formula video camera carry out real time video collection at crossing to road conditions, the video flowing gathered sends the event analysis instrument to by the network switch, detect the analytic operation of software module through above-mentioned relevant traffic, thereby carry out multiple traffic data collection, calculate, in order to realize the two picture displies that detect of road, the calculating of road traffic parameter, transmission, abnormal traffic events is reported to the police, break in traffic rules and regulations event detection and candid photograph, but and the discernible license board information of clear display, reflect vehicles peccancy information comprehensively, realize real-time detection and the management of road cross.
By described scheme, the default value setting of many group photographic images parameters (as brightness, contrast, saturation degree, time shutter etc.) is arranged in described rifle formula video camera, traffic control personnel in backstage can carry out remote auto or manually regulation and control; At the scene, crossing, the relevant personnel also can insert external connection type keyboard on the event analysis instrument, and it is adjusted manually or automatically, can also be adjusted video parameter and the threshold value violating the regulations thereof of vehicle peccancy.
By described scheme, in the situation of described rifle formula video camera normal operation, the video signal gathered, analysis and judgement through the analysis module in the event analysis instrument, video to traffic violation, send abnormal traffic events digital signal, drive the work of twin camera interlocking module, and send immediately the shooting angle of adjusting ball formula video camera and the instruction of lens focus, ball formula video camera captures rapidly by this instruction process and the feature picture that abnormal traffic events occurs, and sends the early warning information of traffic events.
By described scheme, described traffic parameter has: vehicle flowrate, vehicle instantaneous velocity, vehicle average velocity, queue length, time headway, lane occupancy ratio, time occupancy.
By described scheme, the interlock of described twin camera is captured and the transmission of information in violation of rules and regulations, detect the workflow in software module by traffic, be achieved in that (1) rifle ball sizing: pass vehicle coordinate in violation of rules and regulations according to gunlock and adjust ball machine angle, guarantee that center, two camera visuals field is consistent; (2) rifle ball mapping: the violation vehicle coordinate that gunlock was passed of take is set up one as unique point and be take the stereoscopic model that ground is reference system; (3) ball machine calibration: equally distributed numerous pixel shooting point positions on the shooting form to ball formula video camera, carry out repeatedly convergent-divergent and rotation, guarantee that the shooting of every frame can take the feature picture of a width standard vehicle, again the angle of the camera of numerous adjustment skew and the adjustment data of focal length, be recorded in (ROM) chip of microprocessor, as the calculating operation data of later adjustment picture angle, make rifle formula video camera and ball formula video camera realize Collaborative Control when detecting; (4) the ball machine is captured: rifle formula video camera is according to the regulation of predefined automobile video frequency parameter threshold value violating the regulations, once find that there is the video of traffic violation, just send the digital signal of abnormal traffic events thereupon, drive the work of twin camera interlocking module, and sending immediately the shooting angle of adjustment ball formula video camera and the instruction of lens focus, ball formula video camera captures rapidly by this instruction process and the feature picture that abnormal traffic events occurs; (5) violation communication: captured image information, workflow by violation picture transport module, carry out multi-source heterogeneous data fusion and real time data synchronization transmission: the violation video image of capturing is carried out to the violation picture with yuv format and synthesize, then compression and synthetic after picture with the JEPG form, be uploaded to backstage through FTP; The text message of vehicle is uploaded to backstage by WEBSERVICE in violation of rules and regulations; With the form of word and picture, real-time synchronization sends the early warning information of traffic events.
By described scheme, the real-time monitoring of described realization to the road cross traffic, in the situation that crossing traffic is normal unobstructed, on the rolling screen of backstage traffic monitoring, the screen that simultaneously shows the specific region, crossing of the crossing panorama screen of rifle formula shot by camera and ball formula shot by camera, the below of screen, can also play the traffic parameter at relevant crossing in real time; When crossing traffic is obstructed or is crowded, the event analysis instrument starts the work of control signal module, and drives signal controller: control in good time crossing traffic light, open crossing Traffic Announcement, to broadcasting station, city and TV station's transmission information, 110, report to the police When there is vehicles peccancy at crossing, its synthesising picture violating the regulations, appear on the monitoring screen immediately, deposits in the vehicles peccancy archives at this crossing on the same day and car owner's violating the regulations driving archives simultaneously.In addition, the traffic control operator on duty on backstage, can also be according to zone and citywide traffic fact, and regulation and control event analysis instrument, carry out long-range pool keyholed back plate to the monitoring crossing traffic.
By described scheme, the measuring method of described system traffic parameter, performing step is:
8.1, at road cross, system equipment is installed, is debugged;
8.2, on road, choose with reference to a in kind, b, c, d as point coordinate,, and measure the actual range of each line segment;
8.3, each line segment real data is input to analysis module, determine system image coordinate system and world coordinate system mapping relations so that system to the calculating of car speed;
8.4, set up mapping relations after, system can be detected the traffic parameter of arbitrary region on road, if surveyed area is rectangle ABCD, CD length is L and parallel with the road travel direction;
8.5, when vehicle enters line segment AB, analysis module starts track of vehicle is followed the tracks of and started timing;
8.6 when vehicle rolls line segment DC away from, analysis module stops timing, and automatically calculates vehicle by AD line segment required time, above data transmission is to traffic parameter measurement module;
8.7, when vehicle rolls line segment DC away from, analysis module is to being counted by vehicle, above data transmission is to traffic parameter measurement module;
8.8 the traffic parameter measurement module, according to system requirements, by the vehicle fleet size in object of reference zone, calculates vehicle flowrate in the statistical unit time; According to by the time of surveyed area vehicle, calculate the average velocity in vehicle passing detection zone.
Specifically illustrate the detection method of traffic parameter: while on a certain track of AB line segment, having vehicle to pass through, trace routine starts automatically, and starts timing, and this is t1 constantly; Under normal circumstances, the DC line segment first has vehicle to pass through, when the 1st car that at first enters the AB line segment leaves the DC line segment, the numeration of vehicle accumulative total is 1, from motion tracking, stop, and the end timing, this is t2 constantly, same, when the 2nd car that enters the AB line segment leaves the DC line segment, the vehicle stored count is 2 ..., until t2 constantly, when last car that enters the AB line segment leaves the DC line segment, the vehicle stored count is N, at this moment within the △ t time (△ t=t2-t1), and the vehicle flowrate N on this track has just detected exactly; While travelling on many tracks of wagon flow while in surveyed area, system can be followed the tracks of each car separately, at this moment system can be divided surveyed area by track quantity, carry out the shunting detection, comprehensive statistics, detect the unidirectional vehicle flowrate of this road, two-way vehicle flowrate, implement fast and accurately the whole detection for pavement of road.
When measuring the average velocity of bicycle, we have set in detection zone ABCD, and AB is L to the straight distance of CD, and system keeps track, to detect its time by detection zone be △ t, presses formula, can calculate bicycle average velocity V:
V?=?L?/△t（M/S）
Equally, when measuring on unidirectional track, during the average velocity of vehicle, as long as within this △ t period, each vehicle by this district bicycle average velocity add up on average to get final product.In like manner, the two-way vehicle flowrate of a road, the vehicle average velocity of a road, when road junction is junctions, cross road junction or many road junctions while intersecting, vehicle flowrate and the vehicle average velocity at full road junction all can detect exactly.
In like manner, apply above-mentioned detection method and testing result, other traffic parameter, as vehicle instantaneous velocity (△ t shortening gets final product), queue length, time headway, lane occupancy ratio, time occupancy etc. accurately and easily detect and come out, repeat no more.Just system of the present invention can be according to the traffic characteristic of different cities and regional, with reference to " traffic information collection standard " (the GB/T 24726-2009) of country, above-mentioned detected parameters is carried out characteristic definition, establishes rules and chosen, in order to simply and efficiently carry out the intelligent transportation supervision at road junction.
Compared with prior art, the beneficial effect of patent of the present invention is:
1, the double vision window detects picture
In system of the present invention, the video flowing of two camera acquisitions is after decoding, can in the monitored picture of event analysis instrument and traffic control center (backstage), show simultaneously, under the prerequisite that does not affect normal road traffic detection, the traffic administration personnel can carry out multi-angle, multi-faceted detection to road traffic condition at any time, and real-time traffic management and control instruction is sent in the monitoring road junction.
2, the road specific region is detected
In system of the present invention, the traffic control personnel on backstage can be at any time to ball formula video camera, carry out the setting of manual parameters, remote adjustment its lens shooting angle and focal length, detected the specific region in the middle of road, clear, the details in recording exceptional traffic events generating process exactly, reflect vehicles peccancy information comprehensively, the vehicle feature that the traffic events analyser can be captured according to ball formula video camera, analyzed car plate, comprises the identification of car plate color, character recognition etc.; For break in traffic rules and regulations, management provides strong proof, and this greatly makes up the defect that existing electronic police detects, and alternative special police car is captured and artificial fixed point is captured, and has saved the city police strength.
3, the collection of traffic parameter and measurement are accurately, comprehensively;
The mode that traditional electronic police application tracking is taken, for from rear end, the crossing vehicle is monitored, when vehicle runs into red light, there will be larger error to vehicle flowrate.The native system mouthful vehicle that satisfies the need from front upper place is detected, and can avoid the measuring error of the traffic parameter that causes because of red light; Simultaneously, system of the present invention adopts the measuring methods such as a whole set of rationally effective camera coordinates location, vehicle tracking, vehicle count, can obtain fast a series of high-precision transport information parameters, for fair and reasonable traffic monitoring provides jumbo transport information and evidence reliably violating the regulations in real time.
4, crossing traffic real-time monitoring
The traffic events analyser is analyzed in real time, is counted the crossing traffic information collected, and with and issue instructions to the traffic signal control 5 at road junction, control the traffic light at crossing, the Traffic Announcement at unlatching crossing etc., thereby guarantee that the road junction smooth traffic is effective.
5, capture and measure perfect the fusion, structure is advanced simple, and real-time is wide
The core component of system of the present invention---the traffic events analyser is reasonable in design, simple in structure, all weather operations, it is large that contained traffic detects the software module capacity, the method advanced person who captures and measure, the function of the rotatable and zoom of ball formula video camera, make up the simple deficiency of rifle formula video camera in special traffic events, as many cars while violation events and rule-breaking vehicle lane change event etc.; The present invention captures in time, measures accurately, this all makes cost performance of the present invention high, with low cost, widely applicable, function is integrated, information interaction, and on the basis of the processing of information, excavation, fusion, prediction, realize integrated management aid decision making, the command scheduling of urban transportation, for the standardization driving management of guaranteeing urban transportation provides sound assurance.
So system of the present invention is the perspective product of traffic video monitoring.
The accompanying drawing explanation
Fig. 1 is the structural drawing block scheme of intelligent traffic monitoring system of the present invention
Fig. 2 is system software operational flow diagram of the present invention
Fig. 3 is the schematic diagram that system rifle formula video camera of the present invention is captured line ball lane change vehicle violating the regulations
Fig. 4 is the close-up schematic view that system ball formula video camera of the present invention is captured line ball lane change vehicle violating the regulations
Fig. 5 is the measuring method schematic diagram of system vehicle flowrate of the present invention and vehicle average velocity
Fig. 6 is that system of the present invention is installed and used schematic diagram at the cross road junction.
Embodiment
Below in conjunction with drawings and Examples, system of the present invention is described in more detail: as shown in Figure 1, Figure 2, shown in Fig. 3, Fig. 4 and Fig. 5, rifle formula video camera and ball formula video camera are arranged on the cross bar (or the other vertical rod of road) of 4-8 rice left and right, road front upper place, these two video cameras are as far as possible near installing, distance is no more than 1 meter, and they are connected to the network switch (for twin camera and the traffic events analyser closely connected with private network cable; When it connects distance over 50 meters, the application fiber optical transceiver replaces the network switch), the latter is connected with the traffic events analyser again, and last, the traffic events analyser is connected to the traffic control center LAN (Local Area Network) by metropolitan area telecommunications backbone or special optical cable.
After above equipment installs, at crossing, two video cameras are debugged: the road monitoring scope that first regulates rifle formula video camera, then adjust setting angle and the pick-up lens focal length of ball formula video camera, the field range that guarantees ball formula video camera is as far as possible consistent with rifle formula video camera, this captures the initial point of coordinate system as ball formula video camera, simultaneously, rifle ball interlocking module in the event analysis instrument, the application Binocular Vision Principle, automatically the corresponding point of rifle formula video camera and ball formula video camera are compared, set up one and take stereoscopic model that ground is reference system being kept in microprocessor, convergent-divergent and rotation are carried out repeatedly in equally distributed numerous pixel shooting point positions on ball formula video camera, guarantee that the shooting of every frame can take the feature picture of a width standard vehicle, again the angle of the camera skew of repeatedly adjusting and the adjustment data of focal length, be recorded in the rom chip of microprocessor, calculating operation data as later adjustment picture angle, and by point duty LAN (Local Area Network) (backstage), the every analytical parameters of system is arranged, and standard violating the regulations is arranged.
During system works of the present invention, the decoding video stream module is the yuv format file by the H264 formatted file decompress(ion) of input, and is input to analysis module; Analysis module proceeds as follows:
The traffic parameter data such as 1 vehicle flowrate that will analyze, calculate gained, vehicle instantaneous velocity, vehicle average velocity, queue length, time headway, lane occupancy ratio, time occupancy transfer to backstage by the network port of event analysis instrument, when being judged as the generation of traffic abnormity event, also by the network port, send alerting signal to backstage;
The 2 traffic parameter data transmission that will analyze gained are to the control signal module, and transfer to traffic signal controlling machine 5 by 485 PORT COM, thereby can control crossroads traffic light, open the Traffic Announcement at crossing etc. in good time;
3 when the break in traffic rules and regulations event of line ball lane change occurs, and rifle ball interlocking module starts, and concrete operations are as follows:
3.1 the vehicles peccancy track calculated according to analysis module by rifle formula video camera is captured (as shown in Figure 3), capture continuously three, process picture violating the regulations, when capturing the second pictures, ball formula video camera receives the co-ordinate position information of vehicles peccancy;
3.2 ball formula video camera is according to demarcating the dimensionally surface model of setting up immediately, co-ordinate position information instruction according to the vehicles peccancy received, change the direction of its video camera and lens focus to assigned address, and capture one of feature of vehicle (as shown in Figure 4);
3.3 illegal picture synthesis module, obtain 3 process pictures violating the regulations and the vehicle feature synthesizes 1 by above-mentioned, and the license board information that will identify in feature be printed on synthesising picture above, boil down to jpeg format file;
3.4 illegal picture transport module transfers to backstage by synthesising picture by the network port;
3.5 ball formula video camera completes after candid photograph and automatically returns to original camera site and carry out work.
4 photographed other event violating the regulations (as running red light for vehicle, disobey and to stop, drive in the wrong direction, the line ball lane change, take bus zone, hypervelocity etc.) when rifle formula video camera, also all can, according to the workflow of the break in traffic rules and regulations event of above-mentioned line ball lane change, analyze and detect.
5 above-mentioned the detected transport information such as traffic parameter, image and data, by the network output mouth of traffic events analyser, transfer in background data base.
Below another embodiment that system of the present invention is used at the cross road junction: as shown in Figure 6, at the cross road junction, there are 4 to be examined road junction, need the independent above-mentioned 4 cover double visions detection system frequently of installing, like this, as long as every cover detection system is installed to the column of video camera, be fastened on an angle at cross road junction, its corresponding wagon flow detection zone of detection video covering of video camera is got final product, they are installed, debugging, use procedure and method are same as the previously described embodiments, just can carry out the comprehensive detection in cross road junction and supervision, also specifically demonstrate the rule-breaking vehicle lane change in Fig. 6, the video violating the regulations that makes a dash across the red light and drive in the wrong direction, detection and grasp shoot method are same as described above.
Claims (8)
1. rifle ball interlock road traffic parameter collection reaches capturing system violating the regulations, it is by rifle formula video camera, ball formula video camera, the network switch, event analysis instrument and signal controller form, rifle formula video camera and ball formula video camera are arranged on the front upper place of detected vehicle, and be connected with the network switch, the network switch is connected with the event analysis instrument, it is characterized in that, in the event analysis instrument, microprocessor is installed, traffic detects software module, rifle formula video camera carries out road traffic conditions real-time recording within the vision, about the track of the video acquisition of traffic parameter and vehicles peccancy is captured, real-time recording and vehicles peccancy feature that ball formula video camera is responsible in specific region are captured, detect LAN (Local Area Network) by the above road cross formed, it is connected to urban transportation command centre by city telecommunications backbone network or special optical cable, thereby realize the real-time monitoring to the road cross traffic.
2. rifle ball interlock road traffic parameter according to claim 1 collection reaches capturing system violating the regulations, it is characterized in that the traffic of installing in described event analysis instrument detects software module and contains:
(1) video flowing load module
(2) video decode module
(3) the numerical measuring module of all traffic parameters
(4) analysis module
(5) control signal module
(6) twin camera interlocking module
(7) the ball machine is captured module
(8) violation picture synthesis module
(9) violation picture transport module
Rifle formula video camera and ball formula video camera carry out real time video collection at crossing to road conditions, the video flowing gathered sends the event analysis instrument to by the network switch, detect the analytic operation of software module through above-mentioned relevant traffic, thereby carry out multiple traffic data collection, calculate, in order to realize the two picture displies that detect of road, the calculating of road traffic parameter, transmission, abnormal traffic events is reported to the police, break in traffic rules and regulations event detection and candid photograph, but and the discernible license board information of clear display, reflect vehicles peccancy information comprehensively, realize real-time detection and the management of road cross.
3. rifle ball interlock road traffic parameter according to claim 1 and 2 collection reaches capturing system violating the regulations, it is characterized in that, the default value setting of many group photographic images parameters is arranged in rifle formula video camera, and the traffic control personnel of urban transportation command centre can carry out remote auto or manually regulation and control; At the scene, crossing, the relevant personnel also can insert external connection type keyboard on the event analysis instrument, and it is adjusted manually or automatically, can also be adjusted video parameter and the threshold value violating the regulations thereof of vehicle peccancy.
4. rifle ball interlock road traffic parameter according to claim 1 and 2 collection reaches capturing system violating the regulations, it is characterized in that, in the situation of described rifle formula video camera normal operation, the video signal gathered, analysis and judgement through the analysis module in the event analysis instrument, video to traffic violation, send abnormal traffic events digital signal, drive the work of twin camera interlocking module, and send immediately the shooting angle of adjusting ball formula video camera and the instruction of lens focus, ball formula video camera captures rapidly by this instruction process and the feature picture that abnormal traffic events occurs, send the early warning information of traffic events.
5. rifle ball interlock road traffic parameter according to claim 1 and 2 collection reaches capturing system violating the regulations, it is characterized in that, described traffic parameter has: vehicle flowrate, vehicle instantaneous velocity, vehicle average velocity, queue length, time headway, lane occupancy ratio, time occupancy.
6. rifle ball interlock road traffic parameter according to claim 1 and 2 collection reaches capturing system violating the regulations, it is characterized in that, the interlock of described twin camera is captured and the transmission of information in violation of rules and regulations, detect the workflow in software module by traffic, be achieved in that (1) rifle ball sizing: pass vehicle coordinate in violation of rules and regulations according to gunlock and adjust ball machine angle, guarantee that center, two camera visuals field is consistent; (2) rifle ball mapping: the violation vehicle coordinate that gunlock was passed of take is set up one as unique point and be take the stereoscopic model that ground is reference system; (3) ball machine calibration: equally distributed numerous pixel shooting point positions on the shooting form to ball formula video camera, carry out repeatedly convergent-divergent and rotation, guarantee that the shooting of every frame can take the feature picture of a width standard vehicle, again the angle of the camera of numerous adjustment skew and the adjustment data of focal length, be recorded in (ROM) chip of microprocessor, as the calculating operation data of later adjustment picture angle, make rifle formula video camera and ball formula video camera realize Collaborative Control when detecting; (4) the ball machine is captured: rifle formula video camera is according to the regulation of predefined automobile video frequency parameter threshold value violating the regulations, once find that there is the video of traffic violation, just send the digital signal of abnormal traffic events thereupon, drive the work of twin camera interlocking module, and sending immediately the shooting angle of adjustment ball formula video camera and the instruction of lens focus, ball formula video camera captures rapidly by this instruction process and the feature picture that abnormal traffic events occurs; (5) violation communication: captured image information, workflow by violation picture transport module, carry out multi-source heterogeneous data fusion and real time data synchronization transmission: the violation video image of capturing is carried out to the violation picture with yuv format and synthesize, then compression and synthetic after picture with the JEPG form, be uploaded to urban transportation command centre through FTP; The text message of vehicle is uploaded to urban transportation command centre by WEBSERVICE in violation of rules and regulations; With the form of word and picture, real-time synchronization sends the early warning information of traffic events.
7. rifle ball interlock road traffic parameter according to claim 1 and 2 collection reaches capturing system violating the regulations, it is characterized in that, the real-time monitoring of described realization to the road cross traffic, in the situation that crossing traffic is normal unobstructed, on the rolling screen of urban transportation command centre traffic monitoring, the screen that simultaneously shows the specific region, crossing of the crossing panorama screen of rifle formula shot by camera and ball formula shot by camera, the below of screen, can also play the traffic parameter at relevant crossing in real time; When crossing traffic is obstructed or is crowded, the event analysis instrument starts the work of control signal module, and drives signal controller: control in good time crossing traffic light, open crossing Traffic Announcement, to broadcasting station, city and TV station's transmission information, 110, report to the police When there is vehicles peccancy at crossing, its synthesising picture violating the regulations, appear on the monitoring screen immediately, deposits in the vehicles peccancy archives at this crossing on the same day and car owner's violating the regulations driving archives simultaneously; In addition, the traffic control operator on duty of urban transportation command centre, can also be according to zone and citywide traffic fact, and regulation and control event analysis instrument, carry out long-range pool keyholed back plate to the monitoring crossing traffic.
8. according to claim 1 or 2 described rifle ball interlock road traffic parameter collection and capturing system violating the regulations, it is characterized in that, the performing step of the measuring method of system traffic parameter is:
(8.1), at road cross, system equipment is installed, debugged;
(8.2), on road, choose with reference to a in kind, b, c, d as point coordinate,, and measure the actual range of each line segment;
(8.3), each line segment real data is input to analysis module, determine system image coordinate system and world coordinate system mapping relations so that system to the calculating of car speed;
(8.4), set up mapping relations after, system can be detected the traffic parameter of arbitrary region on road, if surveyed area is rectangle ABCD, CD length is L and parallel with the road travel direction;
(8.5), when vehicle enters line segment AB, analysis module starts track of vehicle is followed the tracks of and started timing;
(8.6), when vehicle rolls line segment DC away from, analysis module stops timing, and automatically calculates vehicle by AD line segment required time, above data transmission is to traffic parameter measurement module;
(8.7), when vehicle rolls line segment DC away from, analysis module is to being counted by vehicle, above data transmission is to traffic parameter measurement module;
(8.8), the traffic parameter measurement module is according to system requirements, in the statistical unit time, by the vehicle fleet size in object of reference zone, calculates vehicle flowrate; According to by the time of surveyed area vehicle, calculate the average velocity in vehicle passing detection zone;
Specifically illustrate the detection method of traffic parameter: while on a certain track of AB line segment, having vehicle to pass through, trace routine starts automatically, and starts timing, and this is t1 constantly; Under normal circumstances, the DC line segment first has vehicle to pass through, when the 1st car that at first enters the AB line segment leaves the DC line segment, the numeration of vehicle accumulative total is 1, from motion tracking, stop, and the end timing, this is t2 constantly, same, when the 2nd car that enters the AB line segment leaves the DC line segment, the vehicle stored count is 2 ..., until t2 constantly, when last car that enters the AB line segment leaves the DC line segment, the vehicle stored count is N, at this moment within the △ t time (△ t=t2-t1), and the vehicle flowrate N on this track has just detected exactly; While travelling on many tracks of wagon flow while in surveyed area, system can be followed the tracks of each car separately, at this moment system can be divided surveyed area by track quantity, carry out the shunting detection, comprehensive statistics, detect the unidirectional vehicle flowrate of this road, two-way vehicle flowrate, implement fast and accurately the whole detection for pavement of road;
When measuring the average velocity of bicycle, we have set in detection zone ABCD, and AB is L to the straight distance of CD, and system keeps track, to detect its time by detection zone be △ t, presses formula, can calculate bicycle average velocity V:
V?=?L?/△t（M/S）
Equally, when measuring on unidirectional track, during the average velocity of vehicle, as long as within this △ t period, each vehicle by this district bicycle average velocity add up on average to get final product; In like manner, the two-way vehicle flowrate of a road, the vehicle average velocity of a road, when road junction is junctions, cross road junction or many road junctions while intersecting, vehicle flowrate and the vehicle average velocity at full road junction all can detect exactly;
In like manner, apply above-mentioned detection method and testing result, other traffic parameter, as vehicle instantaneous velocity, queue length, time headway, lane occupancy ratio, time occupancy can accurately and easily detect and come out.
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Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1831892A (en) * | 2006-04-18 | 2006-09-13 | 北京铱星世纪数字应用开发有限责任公司 | Traffic monitoring method and electronic police system |
| CN1921622A (en) * | 2006-09-15 | 2007-02-28 | 杭州华为三康技术有限公司 | Video monitoring equipment and device |
| CN101178854A (en) * | 2006-11-07 | 2008-05-14 | 奥城同立科技开发（北京）有限公司 | Traffic roads image multi-way grasp shoot method and electronic policeman system |
| CN101246644A (en) * | 2007-12-28 | 2008-08-20 | 北京航空航天大学 | Fixed intersection electric police grasp shoot device |
| CN101465033A (en) * | 2008-05-28 | 2009-06-24 | 丁国锋 | Automatic tracking recognition system and method |
| CN201655024U (en) * | 2010-04-12 | 2010-11-24 | 西安翔迅科技有限责任公司 | Junction traffic information comprehensive measurement alarm system |
| US20110182473A1 (en) * | 2010-01-28 | 2011-07-28 | American Traffic Solutions, Inc. of Kansas | System and method for video signal sensing using traffic enforcement cameras |
| CN102254429A (en) * | 2011-05-13 | 2011-11-23 | 东南大学 | Video identification-based detection apparatus and method of vehicles against regulations |
| CN102368356A (en) * | 2011-10-24 | 2012-03-07 | 姜廷顺 | Monitoring system and method used for freeway ramp mouth |
| US20120262579A1 (en) * | 2011-04-15 | 2012-10-18 | Hon Hai Precision Industry Co., Ltd. | Electronic device and vehicle detection method using the electronic device |
| CN102768800A (en) * | 2012-07-12 | 2012-11-07 | 复旦大学 | Motor vehicle red light running rule violation evidence obtaining method based on high-definition videos |
-
2013
- 2013-09-11 CN CN201310410165.1A patent/CN103473926B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1831892A (en) * | 2006-04-18 | 2006-09-13 | 北京铱星世纪数字应用开发有限责任公司 | Traffic monitoring method and electronic police system |
| CN1921622A (en) * | 2006-09-15 | 2007-02-28 | 杭州华为三康技术有限公司 | Video monitoring equipment and device |
| CN101178854A (en) * | 2006-11-07 | 2008-05-14 | 奥城同立科技开发（北京）有限公司 | Traffic roads image multi-way grasp shoot method and electronic policeman system |
| CN101246644A (en) * | 2007-12-28 | 2008-08-20 | 北京航空航天大学 | Fixed intersection electric police grasp shoot device |
| CN101465033A (en) * | 2008-05-28 | 2009-06-24 | 丁国锋 | Automatic tracking recognition system and method |
| US20110182473A1 (en) * | 2010-01-28 | 2011-07-28 | American Traffic Solutions, Inc. of Kansas | System and method for video signal sensing using traffic enforcement cameras |
| CN201655024U (en) * | 2010-04-12 | 2010-11-24 | 西安翔迅科技有限责任公司 | Junction traffic information comprehensive measurement alarm system |
| US20120262579A1 (en) * | 2011-04-15 | 2012-10-18 | Hon Hai Precision Industry Co., Ltd. | Electronic device and vehicle detection method using the electronic device |
| CN102254429A (en) * | 2011-05-13 | 2011-11-23 | 东南大学 | Video identification-based detection apparatus and method of vehicles against regulations |
| CN102368356A (en) * | 2011-10-24 | 2012-03-07 | 姜廷顺 | Monitoring system and method used for freeway ramp mouth |
| CN102768800A (en) * | 2012-07-12 | 2012-11-07 | 复旦大学 | Motor vehicle red light running rule violation evidence obtaining method based on high-definition videos |
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Denomination of invention: Gun ball linkage road traffic parameter acquisition and violation capture system Effective date of registration: 20211122 Granted publication date: 20160127 Pledgee: Bank of China Wuxi Binhu sub branch Pledgor: WUXI JUSTTRUST INTELLIGENT TECHNOLOGY Co.,Ltd. Registration number: Y2021980012908 |