CN103456175B - Accompanying vehicle real-time detection method based on vehicle registration plate recognition and meshing monitoring - Google Patents

Accompanying vehicle real-time detection method based on vehicle registration plate recognition and meshing monitoring Download PDF

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CN103456175B
CN103456175B CN201310441733.4A CN201310441733A CN103456175B CN 103456175 B CN103456175 B CN 103456175B CN 201310441733 A CN201310441733 A CN 201310441733A CN 103456175 B CN103456175 B CN 103456175B
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vehicle
bayonet socket
website
time
tested
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CN103456175A (en
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索丹
张仁辉
陈岚
张景
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Guangzhou Fiberhome Zhongzhi Digital Technology Co. Ltd.
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WUHAN FIBERHOME DIGTAL TECHNOLOGY Co Ltd
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Abstract

The invention discloses an accompanying vehicle real-time detection method based on vehicle registration plate recognition and meshing monitoring, and belongs to the field of image recognition, data mining and intelligent transportation. The method includes the steps of firstly, obtaining information of all checkpoint stations and historical vehicle information during a certain period of time; secondly, obtaining information of a detected vehicle; thirdly, calculating the vehicle running track of the detected vehicle; fourthly, judging whether the number of track points of the detected vehicle is smaller than the minimum accompanying level or not, if yes, jumping to the eighth step, and if not, entering the fifth step; fifthly, calculating an initial accompanying vehicle set; sixthly, judging whether the number of vehicles in the initial accompanying vehicle set is smaller than 2 or not, if yes, jumping to the eighth step, and if not, entering the seventh step; seventhly, calculating the tracks of all the vehicles in the initial accompanying vehicle set according to the vehicle running track of the detected vehicle; eighthly, analyzing the accompanying degree and obtaining the result. According to the method, the vehicle which accompanies the detected vehicle can be rapidly, accurately and flexibly detected in real time.

Description

Based on the adjoint car real-time detection method of number plate of vehicle identification and gridding supervision
Technical field
The present invention relates to image recognition, data mining and intelligent transportation field, particularly relate to a kind of adjoint car real-time detection method based on number plate of vehicle identification and gridding supervision.
Background technology
Along with the fast development of China's economy and the sharply increase of social motor vehicles owning amount, relate to car event, case becomes geometry multiple to increase.In order to promote social security level, reduce the probability of happening relating to car event, case, examination and controlling technology for motor vehicles obtains to be studied widely, motor vehicles data analysis technique obtains to be applied rapidly, is widely used in the traffic scenes such as public security bayonet, information of vehicles real-time analysis, the interception of case-involving suspicion car.
Add up according to criminal investigation, utilizing motor vehicle to carry out suspect that is illegal, criminal activity adopts the mode of going in group more, and be also many people aid and abet usually in vehicle theft or robbery, the vehicle of suspect and partner thereof is trailed usually at victim's du vehicule.Refer in span sometime with car, and specify the vehicle appearing at more than at least three stuck points together with number plate vehicle, and these vehicles are less than certain time threshold through the mistiming of same stuck point.The bayonet socket website of gridding arranges supervisory system, and in real time companion's detection on locomotive is carried out to the information of vehicles that supervisory system obtains, find the suspected vehicles in league with crime, valuable clue to solve the case can be provided to public security organ's alarm in time, the people's lives and property ensured safely to greatest extent.
Summary of the invention
Object of the present invention is just to overcome the deficiencies in the prior art, provides a kind of adjoint car real-time detection method based on number plate of vehicle identification and gridding supervision.
The object of the present invention is achieved like this:
The present invention provides a kind of driving trace determination and analysis method of real-time vehicle for the Gate System in intelligent transportation system, mainly solves the real-time detection and positioning problem with car.
The present invention uses " website-time period-vehicle " three grades of chain table caches through the history information of vehicles of each bayonet socket website, rational time range is calculated by the speed limit between each bayonet socket website, when having car through certain bayonet socket website, can detect real-time and to accompany through the driving trace of this vehicle and this vehicle and which vehicle.
One, based on the adjoint car real-time detecting system (abbreviation system) of number plate of vehicle identification and gridding supervision
Native system comprises working environment: gridding supervision platform, comprehensive access gate and adjoint car detect server in real time;
Its annexation is: gridding supervision platform, comprehensive access gate detect server in real time with adjoint car and be connected successively.
Principle of work
Each sub-monitor supervision platform of gridding supervision platform is based upon on each bayonet socket website, when there being vehicle through bayonet socket website, the corresponding monitor supervision platform of this bayonet socket website can this vehicle of automatic acquisition image and calculate this vehicle comprise the number-plate number, vehicle through the information such as time of bayonet socket website at interior information of vehicles, then adjoint car is sent to detect server in real time by comprehensive access gate information of vehicles, detect server in real time with car and detect whether this vehicle exists escort vehicle and provide the information of escort vehicle according to buffer memory history information of vehicles in the information of vehicles received and server in real time by method of the present invention.
Two, based on the adjoint car real-time detection method (abbreviation method) of number plate of vehicle identification and gridding supervision
This method mainly comprises a kind of vehicle driving trace analytical approach based on data mining and a kind of vehicle correlation analysis method.The method calculates the minimum and maximum running time of theory between each bayonet socket website by the Distance geometry speed limit between bayonet socket website, searches target vehicle, determine the driving trace of target vehicle in the minimum and maximum running time of each bayonet socket website.Calculate minimum and maximum running time, reduce seek scope, reach the object of fast finding.Then the vehicle passed through within the less mistiming with target vehicle in each tracing point is searched by the driving trace of target vehicle, thus obtain the set of the driving trace of the vehicle that may accompany with target vehicle, the driving trace of all vehicles and the vehicle accompanied with target vehicle is obtained finally by this vehicle set of analysis.
Specifically, this method comprises the following steps:
A, obtain the information of all bayonet socket websites and the history information of vehicles in a period of time;
The information of b, acquisition tested vehicle;
C, obtain the driving trace of tested vehicle;
D, judge that the track of tested vehicle is counted and whether be less than minimum with grade, be turn and jump to step h, otherwise enter step e;
E, obtain original escort vehicle set;
F, judge whether the quantity of vehicle in original escort vehicle set is less than 2, is turn and jump to step h, otherwise enters step g;
G, calculate the track of each car in original escort vehicle set according to the driving trace of tested vehicle;
H, with degree analyzing obtaining a result.
The present invention compared to existing technology, has following advantages and beneficial effect:
1. the driving trace of tested vehicle can be detected rapidly and accurately
" website-time period-vehicle " three grades of chain table caches are used in step a, target vehicle can be searched in the minimum and maximum running time of each bayonet socket website in step c, reduce the scope of searching in three grades of chained lists, the possibility of the erroneous judgement also reduced, reaches the object of quick and precisely searching;
That 2. detects is real-time
When a car is through certain bayonet socket website, by just detecting after this bayonet socket station for acquiring to the information of this car whether this vehicle has adjoint car, provides intelligence more timely immediately in real time;
3. the object information drawn is abundanter
The driving trace comprising all vehicles that accompanies in analysis result and the information such as the time of passing through each tracing point and speed, for the gang crime of detection vehicle provides more clue;
4. can configure with car time range, with grade with car number
Maximum adjoint grade in step c, step e and step f and minimum adjoint grade, the maximum restriction of the vehicle number in original escort vehicle set and adjoint car are searched after time range can customize according to actual conditions and are applied in method again, and the flow process of method is by the impacts of these four values.
In a word, the present invention quick and precisely can detect the vehicle accompanied with tested vehicle neatly in real time, is applicable to electronic police system, public security bayonet system, abnormal vehicular events detection system, Traffic Flux Information Detection system and case-involving suspicion car intercepting system.
Accompanying drawing explanation
Fig. 1 is the structural drawing of vehicle buffer memory three grades of chained lists;
Fig. 2 is the process flow diagram of this method;
Fig. 3 is the process flow diagram calculating vehicle driving trace;
Fig. 4 is the process flow diagram of the driving trace of each vehicle calculated in vehicle set;
Fig. 5 is system architecture and method application schematic diagram;
In figure:
500-with car real-time detecting system,
510-detect server in real time with car;
520-comprehensive access gate;
530-gridding supervision platform,
531-the 1 monitor supervision platform,
532-the 2 monitor supervision platform,
53N-the N monitor supervision platform, N is natural number;
501-electronic police system;
502-public security bayonet system;
503-information of vehicles real-time analyzer;
504-abnormal vehicular events detection system;
505-Traffic Flux Information Detection system;
506-case-involving suspicion car intercepting system;
Fig. 6 is with car example schematic;
In figure:
V0-tested vehicle (solid line represents its driving trace);
V1-the 1st escort vehicle (dotted line represents its driving trace);
V2-the 2nd escort vehicle (dot-and-dash line represents its driving trace);
Ka-the 1st bayonet socket website;
Kb-the 2nd bayonet socket website;
Kc-the 3rd bayonet socket website;
Kd-the 4th bayonet socket website.
Embodiment
Describe in detail below in conjunction with drawings and Examples:
One, system
1, overall
As Fig. 5, native system comprises working environment: comprehensive access gate 520 and gridding supervision platform 530; Be provided with and detect server 510 in real time with car;
Its annexation is:
Gridding supervision platform 530, comprehensive access gate 520 detect server 510 in real time with adjoint car and are connected successively.
2, functional part
1) server 510 is detected in real time with car
Detecting server 510 in real time with car is the functional entitys detected in real time with car, a corresponding station server in physical distribution.Its major function is:
1. receive information of vehicles that gridding supervision platform 530 sends over and analyze;
2. realize of the present invention with car real-time detection method.
2) comprehensive access gate 520
Realize the statistics access of gridding supervision platform.
3) gridding supervision platform 530
Containing multiple sub-monitor supervision platform, every sub-monitor supervision platform all with certain bayonet socket website to corresponding, because bayonet socket website is that gridding distributes, so be referred to as gridding supervision platform.
3, working mechanism
The car situation excessively of each bayonet socket website monitored by gridding supervision platform 530, number-plate number identification carried out to the vehicle through each bayonet socket website and obtains the information of vehicles comprising vehicle number, then sending to adjoint car to detect server 510 in real time by comprehensive access gate 520 information of vehicles.
Two, method
As Fig. 2, this method comprises the following steps:
A, obtain the information of all bayonet socket websites and the history information of vehicles-201 in a period of time
Obtain the history information of vehicles in all bayonet socket site information and grid in all bayonet socket website a period of times in grid, build vehicle buffer memory three grades of chained lists and preserve history information of vehicles;
The result of vehicle buffer memory three grades of chained lists as shown in Figure 1, the first nodes that chained list is buffer memory chained list with the bayonet socket website of vehicle process, with the two-level node that vehicle is buffer memory chained list through the time period of this bayonet socket website, to pass through the three grade nodes of information as buffer memory chained list of the vehicle of this bayonet socket website within this time period; The information of vehicle forms doubly linked list separately again; The first nodes chained list of the chained list depositing bayonet socket site information and the three grades of chained lists depositing history information of vehicles has same key word and order; The content of bayonet socket site information comprises the maximum running time of this bayonet socket website and minimum running time;
The information-202 of b, acquisition tested vehicle
When there being certain vehicle by a certain bayonet socket website, this vehicle is just regarded as tested vehicle, and from the supervisory system being arranged on the bayonet socket website that it passes through, Real-time Obtaining sends to car Real-Time Monitoring server together with the number plate of this vehicle, the information of bayonet socket website passed through with travel direction and these information and its through the moment;
C, obtain the driving trace-203 of tested vehicle
Driving trace refer to tested vehicle continuously across the intersection that arranges according to time sequencing of bayonet socket website, the quantity of the bayonet socket website (tracing point) that driving trace comprises is not less than the minimum value (minimum with grade) with grade, is not more than maximum with grade (maximal value with grade);
Specifically, as Fig. 3, step c comprises following sub-step:
The bayonet socket website of c1, record tested vehicle current real-time process be tested vehicle a tracing point and using this bayonet socket website as target bayonet socket website-301;
C2, travel through and be directly connected and all bayonet socket websites being terminal with target bayonet socket website with target bayonet socket website, judge that these bayonet socket websites are at time interval [T-t0, T-t1] in autos only record in whether there is the record-302 of tested vehicle, enter step c3-303, otherwise jump to step c6-306, T represents the moment of tested vehicle through target bayonet socket website, t0 and t1 represents the minimum and maximum running time of the theory of each bayonet socket website respectively, and the value of each website t0 with t1 is not necessarily identical;
C3, the bayonet socket website Ki of the record that there is tested vehicle is recorded as a tracing point-303 of tested vehicle, here Ki represents and to be directly connected with target bayonet socket website and to have the bayonet socket website of tested vehicle process with target bayonet socket website at time interval [T-t0, T-t1] for terminal;
C4, judge that the track of tested vehicle is counted and whether be greater than maximum with grade-304, be jump to step c6-306, otherwise enter step c5-305;
C5, using bayonet socket website Ki as target bayonet socket website-305, jump to step c2-302;
C6, Output rusults-306, flow process terminates;
D, judge that the track of tested vehicle is counted and whether be less than minimum with grade-204, be turn and jump to step h-208, otherwise enter step e-205;
E, obtain original escort vehicle set-205
Original escort vehicle set also can be called an escort vehicle set, to refer within a period of time with tested vehicle together with the vehicle set of identical direction by last bayonet socket website; The concrete grammar obtaining original escort vehicle set is, the bayonet socket website of the current real-time process of traversal tested vehicle is at time interval [T-△ T, T+ △ T] in vehicle history buffer, vehicle identical with tested vehicle for travel direction is put into original escort vehicle set, and remove repeat; Here △ T represents that time range searched by adjoint car, and T represents the moment of tested vehicle through target bayonet socket website;
F, judge whether the quantity of vehicle in original escort vehicle set is less than 2-206, is turn and jump to step h-208, otherwise enters step g-207;
G, calculate the track-207 of each vehicle in original escort vehicle set according to the driving trace of tested vehicle;
Specifically, as Fig. 4, g step comprises following sub-step:
G1, make i=0, j=0-401, i and j are natural number, and the value of i is between 1 and L, and L represents the vehicle fleet in original escort vehicle set, and the value of j is between 1 and N, and N represents the tracing point sum of the driving trace of tested vehicle V;
G2, from original escort vehicle set, take out vehicle Vi-402, Vi represents i-th car in original escort vehicle set;
G3, from the driving trace of tested vehicle V, take out a tracing point Pj-403, Pj represent a jth tracing point in the driving trace of tested vehicle V;
G4, judge at time interval [Tj-△ T, Tj+ △ T] in, tracing point Pj crosses the record-404 that whether there is vehicle Vi in car record buffer memory, enter step g 5-405, otherwise jump to step g 8-408, Tj represents that tested vehicle passes through the time of tracing point Pj, and △ T represents that time range searched by adjoint car;
G5, recording track point Pj is a tracing point-405 of vehicle Vi;
G6, make j=j+1-406;
G7, judge whether j is greater than N-407, is, enters step g 10-410, otherwise jump to step g 3-403;
G8, judge that the track of vehicle Vi is counted and whether be less than minimum with grade-408, be enter step g 9-409, otherwise jump to step g 10-410;
G9, from original escort vehicle set, remove vehicle Vi-409;
G10, make i=i+1-410;
G11, judge whether i is greater than L-411, is, enters step g 12-412, otherwise jump to step g 2-402;
G12, Output rusults-412, flow process terminates;
H, with degree analyzing obtain a result-208
Concrete grammar is: if the track of tested vehicle count be greater than minimum with grade and vehicle fleet size in original escort vehicle set is greater than 2, then add up the vehicle by each tracing point in original escort vehicle set, thus can obtain the information of vehicles that accompanies with tested vehicle and with grade, otherwise testing result is tested vehicle without with car.
If citing: is as shown in Figure 62 minimum with grade, and maximum is 9 with grade;
If learnt by track of vehicle analysis: tested vehicle V0, the 1st escort vehicle V1 and the 2nd escort vehicle V2 all together with have passed through the 1st, 2,3 bayonet socket website Ka, Kb and Kc, and tested vehicle V0 and the 1st escort vehicle V1 also together with have passed through the 4th bayonet socket website Kd, so accompany the result of detection on locomotive exactly: it is adjoint that tested vehicle V0 and the 1st escort vehicle V1 belongs to 42 cars, and it is adjoint that tested vehicle V0, the 1st escort vehicle V1 and the 2nd escort vehicle V2 belong to 33 cars.
Three, method application
As Fig. 5, the present invention can as submodule or subsystem application in electronic police system 501, public security bayonet system 502, information of vehicles real-time analyzer 503, abnormal vehicular events detection system 504, Traffic Flux Information Detection system 505 and case-involving suspicion car intercepting system 506 etc., realizes said system data analysis and with car real-time detection function.
The invention provides a kind of driving trace determination and analysis method of vehicle, rely on these two kinds of methods and provide the method detected from the history information of vehicles of real-time information of vehicles and each monitoring station with car, and propose the adjoint car with practical value and detect application scheme in real time.

Claims (1)

1., based on an adjoint car real-time detection method for number plate of vehicle identification and gridding supervision, it is characterized in that comprising the following steps:
A, obtain the information of all bayonet socket websites and the history information of vehicles (201) in a period of time
Obtain the history information of vehicles in all bayonet socket site information and grid in all bayonet socket website a period of times in grid, build vehicle buffer memory three grades of chained lists and preserve history information of vehicles;
Vehicle buffer memory three grades of chained lists are: the first nodes that chained list is buffer memory chained list with the bayonet socket website of vehicle process, with the two-level node that vehicle is buffer memory chained list through the time period of this bayonet socket website, to pass through the three grade nodes of information as buffer memory chained list of the vehicle of this bayonet socket website within this time period; The information of vehicle forms doubly linked list separately again; The first nodes chained list of the chained list depositing bayonet socket site information and the three grades of chained lists depositing history information of vehicles has same key word and order; The content of bayonet socket site information comprises the maximum running time of this bayonet socket website and minimum running time;
The information (202) of b, acquisition tested vehicle
When there being certain vehicle by a certain bayonet socket website, this vehicle is just regarded as tested vehicle, and from the supervisory system being arranged on the bayonet socket website that it passes through, Real-time Obtaining sends to car Real-Time Monitoring server together with the number plate of this vehicle, the information of bayonet socket website passed through with travel direction and these information and its through the moment;
C, obtain the driving trace (203) of tested vehicle
Driving trace refer to tested vehicle continuously across the intersection that arranges according to time sequencing of bayonet socket website, the quantity of the bayonet socket website that driving trace comprises is not less than the minimum value with grade, is not more than maximum with grade;
The bayonet socket website of c1, record tested vehicle current real-time process be tested vehicle a tracing point and using this bayonet socket website as target bayonet socket website (301);
C2, travel through and be directly connected and all bayonet socket websites being terminal with target bayonet socket website with target bayonet socket website, judge that these bayonet socket websites are at time interval [T-t0, T-t1] in autos only record in whether there is the record (302) of tested vehicle, enter step c3 (303), otherwise jump to step c6 (306), T represents the moment of tested vehicle through target bayonet socket website, t0 and t1 represents the minimum and maximum running time of the theory of each bayonet socket website respectively, and the value of each website t0 with t1 is not necessarily identical;
C3, the bayonet socket website Ki of the record that there is tested vehicle is recorded as a tracing point (303) of tested vehicle, here Ki represents and to be directly connected with target bayonet socket website and to have the bayonet socket website of tested vehicle process with target bayonet socket website at time interval [T-t0, T-t1] for terminal;
C4, judge that the track of tested vehicle is counted and whether be greater than maximum with grade (304), be jump to step c6 (306), otherwise enter step c5 (305);
C5, using bayonet socket website Ki as target bayonet socket website (305), jump to step c2 (302);
C6, Output rusults (306), flow process terminates;
D, judge that the track of tested vehicle is counted and whether be less than minimum with grade (204), be turn and jump to step h (208), otherwise enter step e (205);
E, obtain original escort vehicle set (205)
Original escort vehicle set also can be called an escort vehicle set, to refer within a period of time with tested vehicle together with the vehicle set of identical direction by last bayonet socket website; The concrete grammar obtaining original escort vehicle set is, the bayonet socket website of the current real-time process of traversal tested vehicle is at time interval [T-△ T, T+ △ T] in vehicle history buffer, vehicle identical with tested vehicle for travel direction is put into original escort vehicle set, and remove repeat; Here △ T represents that time range searched by adjoint car, and T represents the moment of tested vehicle through target bayonet socket website;
F, judge whether the quantity of vehicle in original escort vehicle set is less than 2 (206), is, turn and jump to step h (208), otherwise enter step g (207);
G, calculate the track (207) of each vehicle in original escort vehicle set according to the driving trace of tested vehicle;
G1, make i=0, j=0 (401), i and j is natural number, and the value of i is between 1 and L, and L represents the vehicle fleet in original escort vehicle set, and the value of j is between 1 and N, and N represents the tracing point sum of the driving trace of tested vehicle V;
G2, from original escort vehicle set, take out vehicle Vi (402), Vi represents i-th car in original escort vehicle set;
G3, from the driving trace of tested vehicle V take out a tracing point Pj (403), Pj represents the jth tracing point in the driving trace of tested vehicle V;
G4, judge at time interval [Tj-△ T, Tj+ △ T] in, tracing point Pj crosses the record (404) that whether there is vehicle Vi in car record buffer memory, enter step g 5 (405), otherwise jump to step g 8 (408), Tj represents that tested vehicle passes through the time of tracing point Pj, and △ T represents that time range searched by adjoint car;
G5, recording track point Pj is a tracing point (405) of vehicle Vi;
G6, make j=j+1 (406);
G7, judge whether j is greater than N (407), is, enter step g 10 (410), otherwise jump to step g 3 (403);
G8, judge that the track of vehicle Vi is counted and whether be less than minimum with grade (408), be enter step g 9 (409), otherwise jump to step g 10 (410);
G9, from original escort vehicle set, remove vehicle Vi (409);
G10, make i=i+1 (410);
G11, judge whether i is greater than L (411), is, enter step g 12 (412), otherwise jump to step g 2 (402);
G12, Output rusults (412), flow process terminates;
H, with degree analyzing obtain a result (208)
If the track of tested vehicle count be greater than minimum with grade and vehicle fleet size in original escort vehicle set is greater than 2, then add up the vehicle by each tracing point in original escort vehicle set, thus can obtain the information of vehicles that accompanies with tested vehicle and with grade, otherwise testing result is tested vehicle without with car.
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