CN106991812A - The detection method and device of row array formula crossing array area vehicle flowrate based on video mode - Google Patents

The detection method and device of row array formula crossing array area vehicle flowrate based on video mode Download PDF

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Publication number
CN106991812A
CN106991812A CN201710313072.5A CN201710313072A CN106991812A CN 106991812 A CN106991812 A CN 106991812A CN 201710313072 A CN201710313072 A CN 201710313072A CN 106991812 A CN106991812 A CN 106991812A
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China
Prior art keywords
vehicle
virtual coil
coil identifier
covering
identifier
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CN201710313072.5A
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Chinese (zh)
Inventor
曹泉
何小晨
李豪
付林峰
李玲
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SHENZHEN HAGONGDA TRAFFIC ELECTRONIC TECHNOLOGY Co Ltd
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SHENZHEN HAGONGDA TRAFFIC ELECTRONIC TECHNOLOGY Co Ltd
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Priority to CN201710313072.5A priority Critical patent/CN106991812A/en
Publication of CN106991812A publication Critical patent/CN106991812A/en
Withdrawn legal-status Critical Current

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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0116Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125Traffic data processing
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/065Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention discloses a kind of detection method and device of the row array formula crossing array area vehicle flowrate based on video mode, method includes:A background image) is extracted;B present image) is obtained, and it is matched with background image;C) judge whether matching value is more than first threshold, in this way, be determined as the covering of no vehicle, do not cover that count is incremented, perform D);Otherwise, it is determined that to there is vehicle covering, count is incremented for covering, and counting is not covered and is set to 0, A is returned to);D) judge do not cover whether counting is more than the first setting frame number or matching value is more than Second Threshold, in this way, perform E);Otherwise, A is returned);E) judge that covering is counted and whether be more than the second setting frame number, in this way, vehicle count increase performs F);Otherwise, F is performed);F) covering counting is set to 0, return to step A).The present invention can realize quick effective detection vehicle and count the magnitude of traffic flow, need not destroy original pavement structure, reduce secondary input and maintenance cost.

Description

The detection method and device of row array formula crossing array area vehicle flowrate based on video mode
Technical field
The present invention relates to intellectual traffic control field, more particularly to a kind of row array formula crossing array area car based on video mode The detection method and device of flow.
Background technology
With the sharp increase of city vehicle number, traffic pressure becomes increasing, and jam occurs in city Probability is increasing.Urban congestion problem is increasingly becoming the subject matter of traffic control department processing.For urban transportation, congestion is existing As if it is extremely fatal.The time resource that jam does not only result in related personnel is greatly wasted, and can also cause environmental resource Severe contamination.It can be said that congestion directly affects social productive forces.
Find by inquiry, under urban environment, the reason for triggering traffic congestion mainly there are three kinds:
1st, occurring abnormality on road causes lane capacity to decline, such as car accident, road construction etc..This The congestion of type, needs traffic police to carry out in-situ processing after finding in time and dredges.
2nd, urbanization process aggravation causes existing crossing design unreasonable.In conventional road construction, there is road network system Function is indefinite, the problems such as hierarchical organization is unreasonable.Region has lacked the secondary distributor road and branch road of collecting and distributing effect, does not form suitable Road network.Primary and secondary in road network system, branch road network it is out of proportion.Branch road to the shunting action of trunk roads traffic not Substantially.Such congestion is, it is necessary to carry out the coordination between land use and Transport Facility Construction.The traffic administration system in city System is supporting with urban planning, city construction system, the need for meeting Traffic Development.
3rd, crossing major-minor arterial highway traffic light time is improper.Traditional traffic grade mode is difficult to again scientifically command car It is current, efficiently solve traffic blocking problem.For example when North and South direction vehicle flowrate is very big, traditional control method can not Ensure that North and South direction green light opens the longer time, the problem of to alleviate traffic congestion.Simultaneously can not be by the green light of east-west direction Time control causes traffic capacity to waste in the reasonable time.Such traffic congestion is, it is necessary to obtain crossing all directions The magnitude of traffic flow, reasonably control signal lamp is to realize that rational science is shunted.
Publication No. CN 1441369A, it is entitled《Traffic control method and facility》Application for a patent for invention in, propose The method of road traffic control and device facility adaptable therewith, indicate that control motor vehicle, non-motor vehicle are each for guiding To or it is some to all or part of vehicle shunting.It according to default or automatic sensing optimising and adjustment and the program step of intelligence, Wagon flow is arranged in oldered array, realizes multilane without the wagon flow intersected or the intersected less side that continuously or discontinuously row array is passed through Method (abbreviation row array formula is passed through), can maximize and improve the traffic efficiency at crossing.
Either common crossing scheme or row array formula transit scenario, red green according to the current direction of the control of real-time traffic flow amount Lamp, can effectively alleviate the problem of non-rice habitats abnormality causes congestion.The main method of existing vehicle detection is as follows:
It is entitled in Publication No. CN 104464294A《A kind of road section traffic volume state evaluation based on array radar Method》Application for a patent for invention in propose the method based on radar.The mounted array radar vehicle detection device by section to be measured, And distinguish detection zone and blind area.The real-time traffic parameter that array radar vehicle equipment will obtain the detection zone in section to be measured is believed Breath.This method blind area is larger, does not apply to control traffic lights in real time.
It is CN 104268589A in patent publication No., it is entitled《A kind of front vehicles detection method》Invention it is special The front vehicles detection method based on machine learning is proposed in profit application.Positive negative example base is set up, collection is a large amount of with the presence of vehicle With the video pictures without vehicle, trained the image for having vehicle in video pictures as vehicle in positive sample, Picking video picture There is no the picture formation negative example base of vehicle.Vehicle sections feature extraction in image comes out hog or class haar features.Pattern is known Other method is SVM or neutral net, adaboost.Input picture detects vehicle using vehicle identification mode first, then uses Edge prior validation of information vehicle is present, and finally confirms vehicle symmetry.This patent application provides a kind of effectively high vehicle and known Not rate and the method for low vehicle false alarm rate.The method takes computing resource and time-consuming big, is not suitable for being transplanted to DSP.
It is entitled in publication number CN 101814238A《Loop Vehicle Detector and vehicle checking method》's A kind of Loop Vehicle Detector is proposed in application for a patent for invention.Outer feeder line circle is embedded to underground, and vehicle is in induction coil During detecting domains, loop coil inductance value is changed, and vehicle in detecting domains is indicated by corresponding predetermined frequency of oscillation change In the presence of or pass through;Vehicle is put down by carrying out vehicle count during coil, and by vehicle by the Time Calculation vehicle of front and rear coil Equal speed.This method needs to destroy road surface, and cost is high.
The content of the invention
The technical problem to be solved in the present invention is that the drawbacks described above for prior art can be realized quickly there is provided one kind Effective detection vehicle simultaneously counts the magnitude of traffic flow, the base that need not be destroyed original pavement structure, reduce secondary input and maintenance cost In the detection method and device of the row array formula crossing array area vehicle flowrate of video mode.
The technical solution adopted for the present invention to solve the technical problems is:A kind of row array formula road based on video mode of construction The detection method of mouth array area vehicle flowrate, draws virtual coil identifier, positioned at road on each track of row array formula crossing array area Video detecting device is hung with monitoring bar on face, the video detecting device is located at the surface of road and angular field of view is covered The virtual coil identifier is covered, methods described comprises the following steps:
A the background image of the virtual coil identifier) is extracted using video background update method, and as mould Plate;
B the present image of the virtual coil identifier position) is obtained, and by itself and the virtual coil identifier Background image carry out template matches;
C) judge whether the matching value that the template matches are obtained is more than first threshold, in this way, judge current state as nothing Vehicle covers the virtual coil identifier, does not cover that count is incremented, performs step D);Otherwise, it is determined that current state is to have vehicle The virtual coil identifier is covered, count is incremented for covering, and counting is not covered and is set to 0, return to step A);
D do not cover whether counting is more than the first setting frame number or whether the matching value is more than Second Threshold described in) judging, In this way, step E is performed);Otherwise, return to step A);
E) judge that the covering is counted and whether be more than the second setting frame number, in this way, vehicle count increase performs step F); Otherwise, step F is performed);
F) covering counting is set to 0, return to step A).
It is described virtual in the detection method of the row array formula crossing array area vehicle flowrate of the present invention based on video mode Coil identifier is made using reflectorized material.
It is described virtual in the detection method of the row array formula crossing array area vehicle flowrate of the present invention based on video mode Coil identifier is combination of the numerical digit 1,2,3,4 with being oriented to arrow.
In the detection method of the row array formula crossing array area vehicle flowrate of the present invention based on video mode, covered from vehicle Cover the virtual coil identifier and complete a vehicle count to the process that the virtual coil identifier is covered without vehicle.
In the detection method of the row array formula crossing array area vehicle flowrate of the present invention based on video mode, using mixing Gaussian Background modeling pattern generates the background image of the virtual coil identifier.
The invention further relates to a kind of detection method for realizing the above-mentioned row array formula crossing array area vehicle flowrate based on video mode Device, on each track of row array formula crossing array area draw virtual coil identifier, in the monitoring bar on road surface hang Video detecting device is hung with, the video detecting device is located at the surface of road and angular field of view covers the virtual coil mark Know symbol, described device includes:
Background image extraction unit:Background for extracting the virtual coil identifier using video background update method Image, and as template;
Matching unit:Present image for obtaining the virtual coil identifier position, and by itself and the void The background image for intending coil identifier carries out template matches;
Matching value judging unit:For judging whether the matching value that the template matches are obtained is more than first threshold, in this way, Judging current state, count is incremented without the vehicle covering virtual coil identifier, not cover;Otherwise, it is determined that current state is There is vehicle to cover the virtual coil identifier, count is incremented for covering, and counting is not covered and is set to 0, return;
Counting judging unit is not covered:For judging that whether described do not cover is counted more than the first setting frame number or described Whether it is more than Second Threshold with value;
Covering counts judging unit:Whether it is more than the second setting frame number for judging that the covering is counted;
Zero setting unit:For covering counting to be set to 0, return.
In device of the present invention, the virtual coil identifier is made using reflectorized material.
In device of the present invention, the virtual coil identifier is numerical digit 1,2,3,4 with being oriented to arrow Combination.
In device of the present invention, cover described virtual from the vehicle covering virtual coil identifier to without vehicle The process of coil identifier completes a vehicle count.
In device of the present invention, the virtual coil identifier is generated using mixed Gaussian background modeling mode Background image.
Implement the present invention the row array formula crossing array area vehicle flowrate based on video mode detection method and device, with Lower beneficial effect:Due to drawing virtual coil identifier on road surface, that is, identifier is drawn as virtual coil, by by void The present image and background image for intending coil identifier carry out template matches and judge coverage mode, and detection vehicle whether there is, so Post analysis vehicle enters virtual coil identifier to virtual coil identifier of going out, and to carry out vehicle count, realizes quick detection Vehicle simultaneously counts the magnitude of traffic flow, therefore it can realize quick effective detection vehicle and count the magnitude of traffic flow, need not destroy original road Face structure, the secondary input of reduction and maintenance cost.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, drawings in the following description are only this Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is one implementation of detection method and device of the row array formula crossing array area vehicle flowrate of the invention based on video mode The position view of video detecting device and virtual coil identifier in example;
Fig. 2 is the angular field of view and the relation schematic diagram of virtual coil identifier of video detecting device in the embodiment;
Fig. 3 is the schematic diagram of virtual coil identifier in the embodiment;
Fig. 4 is the flow chart of method in the embodiment;
Fig. 5 is the structural representation of device in the embodiment.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made Embodiment, belongs to the scope of protection of the invention.
, please in the detection method and device embodiment of row array formula crossing array area vehicle flowrate of the present invention based on video mode Referring to Fig. 1, virtual coil identifier 11 is drawn on each track of row array formula crossing array area, in the monitoring bar on road surface It is hung with video detecting device 10, that is to say, that video detecting device 10 is hung in the monitoring bar on road surface, and visual angle is faced Virtual coil identifier 11.Fig. 1 is the position view of video detecting device and virtual coil identifier in the present embodiment, from figure In 1 it can be seen that video detecting device 10 and the respective position of virtual coil identifier 11.It is noted that video detection is set Standby 10 use video camera.
Fig. 2 is the angular field of view and the relation schematic diagram of virtual coil identifier of video detecting device in the present embodiment;Fig. 2 In, video detecting device 10 is located at the surface of road and angular field of view covering virtual coil identifier 11, that is to say, that video The angular field of view of detection device 10 includes virtual coil identifier 11, for detecting that vehicle completes traffic statistics.In Fig. 2, dotted line Round position is the angular field of view of video detecting device 10, and virtual coil identifier 11 must be at the visual angle of video detecting device 10 In the range of, video detecting device 10 is located at directly over road, and angular field of view can see two tracks, and in the absence of track it Between vehicle mutually block.Video detecting device 10 can actually see how many tracks, be hidden so that vehicle is not present in angular field of view Keep off premised on the virtual coil identifier in other tracks, can be 1 track or a plurality of track.
Fig. 3 is the schematic diagram of virtual coil identifier in the present embodiment, in Fig. 3, in the visual angle model of video detecting device 10 In enclosing, virtual coil identifier 11 is plotted on road surface using reflectorized material, virtual coil identifier 11 be numerical digit 1,2, 3rd, 4 combination with being oriented to arrow, refers to Fig. 2 and Fig. 3.
Fig. 4 is the flow chart of method in the present embodiment, in Fig. 4, the above-mentioned row array formula crossing array area car based on video mode The detection method of flow comprises the following steps:
Step S01 extracts the background image of virtual coil identifier using video background update method, and as mould Plate:In the present embodiment, the background image of stable virtual coil identifier is extracted using video background update method, and is made For template, the template matches for the later stage.It is noted that set context update frame number in the present embodiment, when background more When new frame number is more than the context update frame number of the setting, step S02 is performed;When the frame number of context update is less than or equal to the back of the body When scape updates frame number, then proceed context update, next two field picture judge until being more than the background of above-mentioned setting more New frame number.The above-mentioned context update frame number set is 100 frame.
Step S02 obtains the present image of virtual coil identifier position, and by itself and virtual coil identifier Background image carries out template matches:In this step, the present image of virtual coil identifier position is obtained, and by itself and void The background image for intending coil identifier carries out template matches.It is noted that in the present embodiment, preferably being made according to video sequence The background image of virtual coil identifier is generated with mixed Gaussian background modeling mode, then passes through present image (current picture) With the template matches of background image, judge currently to cover virtual coil with the presence or absence of vehicle.
Whether the matching value that the matching of step S03 judge templets is obtained is more than first threshold:Obtained according to template matches With value, current covering state can be obtained.Specifically, in this step, whether the matching value that judge templet matching is obtained is more than the One threshold value, if it is determined that result be yes, then perform step S05;Otherwise, step S04 is performed.In the present embodiment, by the first threshold Value is labeled as L.
Step S04 judges current state to have vehicle to cover the virtual coil identifier, and count is incremented for covering, does not cover Counting is set to 0:If above-mentioned steps S03 judged result is no, this step is performed.In this step, judge current state to have Vehicle covers the virtual coil identifier, and count is incremented for covering, and counting is not covered and is set to 0, this step return to step S01 has been performed Calculate next two field picture.
Step S05 judges current state, and without vehicle covering virtual coil identifier, not cover, count is incremented:If above-mentioned Step S03 judged result is yes, then performs this step.In this step, judge that current state covers virtual coil as without vehicle Identifier, does not cover that count is incremented, has performed this step, performs step S06.
Step S06 judges do not cover whether counting is more than the first setting frame number or whether matching value is more than Second Threshold:This In step, judgement does not cover whether counting is more than the first setting frame number or whether matching value is more than Second Threshold, if it is determined that As a result it is yes, then performs step S07;Otherwise, return to step S01 calculates next two field picture.In the present embodiment, frame is set by first Number mark is that Second Threshold is labeled as into H.
Step S07 judges that covering is counted and whether is more than the second setting frame number:If above-mentioned steps S06 judged result is It is then to perform this step.In this step, judge covering count whether be more than second setting frame number, if it is determined that result be it is yes, Then perform step S08;Otherwise, step S09 is performed.The second setting frame number is labeled as m in the present embodiment.
The increase of step S08 vehicle counts:If above-mentioned steps S07 judged result is yes, i.e., covering, which is counted, is more than m, then Perform this step.In this step, vehicle count increase.This step has been performed, step S09 is performed.It is noted that this implementation In example, virtual coil identifier is covered to the process vehicle meter of completion that virtual coil identifier is covered without vehicle from vehicle Number.Namely it is covered as a cycle according to video sequence, counts a vehicle from there is vehicle to cover no vehicle.
In the present embodiment, vehicle covering judges and vehicle count two parts algorithm logic isolated operation that as a result then intersecting should With.When there is covering behavior, then cumulative statistics cover time (covering counting), although there may be accumulated time different Situation, but judge whether that the logic covered is identical.When in the presence of not covering, the cover time (does not cover meter for accumulation Number), if the cover time is not more than n frames or more multiframe persistently, then it is assumed that do not cover state effectively, otherwise need to increase template The judgement of the matching value of matching, matching value is higher than Second Threshold, it is believed that do not cover effectively.It is effective effectively to not covering from covering A cycle, counts a vehicle.
Step S09 is set to 0 counting is covered:If above-mentioned steps S07 judged result is no, that is, covers counting and be less than or wait In m, then this step is performed.In this step, covering counting is set to 0.This step is performed, return to step S01 calculates next frame figure Picture.
The method of the present invention can fast and effectively detect row array crossing array area vehicle and calculating vehicle flow.The present invention's Front end is concentrated on to vehicle detection and statistics for method and speed is fast, reduces the delayed possibility of vehicle flow feedback of the information, can subtract Work load is dredged at few traffic police scene, and effectively evades the unreasonable caused congestion risk of traffic light time.The method of the present invention Based on unobstructed video detection vehicle, it can be expanded in the case of unobstructed according to effective coverage in the angular field of view of actual camera Greatly 3 roads.Hardware coil is replaced by the virtual coil identifier on road surface, it is not necessary to destroy original pavement structure.The opposing party The corresponding video in face can be provided by the existing platform interface of traffic police, reduce secondary input and maintenance cost.Therefore it can be realized soon Fast effective detection vehicle simultaneously counts the magnitude of traffic flow, need not destroy original pavement structure, reduce secondary input and maintenance cost.
The present embodiment further relates to a kind of detection for realizing the row array formula crossing array area vehicle flowrate based on video mode as described above The device of method, its structural representation is as shown in Figure 5.In the present embodiment, drawn on each track of row array formula crossing array area Virtual coil identifier 11, video detecting device 10 is hung with the monitoring bar on road surface states video detecting device 10 and be located at The surface of road and angular field of view covering virtual coil identifier 11.Virtual coil identifier 11 is made using reflectorized material, Virtual coil identifier 11 is combination of the numerical digit 1,2,3,4 with being oriented to arrow.
In Fig. 5, the device includes background image extraction unit 21, matching unit 22, matching value judging unit 23, not covered Count judging unit 24, covering and count judging unit 25 and zero setting unit 26;Wherein, background image extraction unit 21 is used to utilize Video background update method extracts the background image of virtual coil identifier, and as template;Using mixed Gaussian background Modeling pattern generates the background image of virtual coil identifier.Matching unit 22 is used to obtain virtual coil identifier position Present image, and the background image of itself and virtual coil identifier is subjected to template matches;Matching value judging unit 23 is used for Whether the matching value that judge templet matching is obtained is more than first threshold, in this way, judges that current state covers dummy line as without vehicle Identifier is enclosed, does not cover that count is incremented;Otherwise, it is determined that current state is has vehicle to cover virtual coil identifier, covering, which is counted, to be added 1, counting is not covered and is set to 0, and is returned;Covering, which counts judging unit 24, to be used to judge not cover whether counting is more than the first setting frame number Or whether matching value is more than Second Threshold;Covering, which counts judging unit 25, to be used to judge whether covering counting is more than the second setting frame Number;Zero setting unit 26 is used to set to 0 covering counting, returns.In the present embodiment, virtual coil identifier is covered to without car from vehicle Covering virtual coil identifier process complete a vehicle count.The device of the present invention can realize quick effective detection vehicle And count the magnitude of traffic flow, original pavement structure need not be destroyed, secondary input and maintenance cost is reduced.
In a word, in the present embodiment, in the range of virtual coil identifier 11, vehicle present image does mould with background image Plate is matched, and matching value thinks vehicle covering virtual coil identifier 11 less than or equal to first threshold, otherwise it is assumed that currently without car Covering, by this method it is determined that whether the region of virtual coil identifier 11 is covered by vehicle.The present invention is by vehicle Identification enumeration problem is converted to covering state-detection problem, by template matches, whether will cover State Transferring for template matches, It is whether consistent with background image, vehicle count is effectively carried out by virtual coil identifier mode.
In vehicle flow of the statistics by the region of virtual coil identifier 11, the vehicle continuous cover time reaches necessarily Value thinks that covering is effective.Using virtual coil identifier 11 as vehicle detection basis, virtual coil identifier 11 itself can be compared with The good state for showing array area road, the abundant edge angle point of virtual coil identifier 11 etc. is characterized in that estimation vehicle occupies void Intend the important indicator of the state of coil identifier 11.In Same Scene, vehicle can be preferably judged whether, and do not influence The use of other marks of road surface.The present invention can realize quick effective detection vehicle and count the magnitude of traffic flow, need not destroy original road Face structure, the secondary input of reduction and maintenance cost.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention God is with principle, and any modification, equivalent substitution and improvements made etc. should be included in the scope of the protection.

Claims (10)

1. a kind of detection method of the row array formula crossing array area vehicle flowrate based on video mode, it is characterised in that on row array formula road Virtual coil identifier is drawn on each track of mouth array area, video detecting device is hung with the monitoring bar on road surface, The video detecting device is located at the surface of road and angular field of view covers the virtual coil identifier, and methods described includes Following steps:
A the background image of the virtual coil identifier) is extracted using video background update method, and as template;
B the present image of the virtual coil identifier position) is obtained, and by its back of the body with the virtual coil identifier Scape image carries out template matches;
C) judge whether the matching value that the template matches are obtained is more than first threshold, in this way, judge current state as without vehicle The virtual coil identifier is covered, does not cover that count is incremented, step D is performed);Otherwise, it is determined that current state is to have vehicle covering The virtual coil identifier, count is incremented for covering, and counting is not covered and is set to 0, return to step A);
D do not cover whether counting is more than the first setting frame number or whether the matching value is more than Second Threshold described in) judging, such as It is to perform step E);Otherwise, return to step A);
E) judge that the covering is counted and whether be more than the second setting frame number, in this way, vehicle count increase performs step F);Otherwise, Perform step F);
F) covering counting is set to 0, return to step A).
2. the detection method of the row array formula crossing array area vehicle flowrate according to claim 1 based on video mode, its feature It is, the virtual coil identifier is made using reflectorized material.
3. the detection method of the row array formula crossing array area vehicle flowrate according to claim 2 based on video mode, its feature It is, the virtual coil identifier is combination of the numerical digit 1,2,3,4 with being oriented to arrow.
4. the detection method of the row array formula crossing array area vehicle flowrate according to claim 3 based on video mode, its feature It is, cover the virtual coil identifier from vehicle completes once to the process that the virtual coil identifier is covered without vehicle Vehicle count.
5. the detection of the row array formula crossing array area vehicle flowrate based on video mode according to Claims 1-4 any one Method, it is characterised in that the background image of the virtual coil identifier is generated using mixed Gaussian background modeling mode.
6. a kind of detection method for realizing the row array formula crossing array area vehicle flowrate as claimed in claim 1 based on video mode Device, it is characterised in that virtual coil identifier, the prison on road surface are drawn on each track of row array formula crossing array area Video detecting device is hung with control lever, the video detecting device is located at the surface of road and angular field of view covers the void Intend coil identifier, described device includes:
Background image extraction unit:Background for extracting the virtual coil identifier using video background update method Picture, and as template;
Matching unit:Present image for obtaining the virtual coil identifier position, and by itself and the dummy line The background image for enclosing identifier carries out template matches;
Matching value judging unit:For judging whether the matching value that the template matches are obtained is more than first threshold, in this way, judge Count is incremented without the vehicle covering virtual coil identifier, not cover for current state;Otherwise, it is determined that current state is to have car The covering virtual coil identifier, count is incremented for covering, and counting is not covered and is set to 0, and returns;
Counting judging unit is not covered:For judging that whether described do not cover is counted more than the first setting frame number or the matching value Whether Second Threshold is more than;
Covering counts judging unit:Whether it is more than the second setting frame number for judging that the covering is counted;
Zero setting unit:For covering counting to be set to 0, return.
7. according to claim 6 realize the row array formula crossing array area car as claimed in claim 1 based on video mode The device of the detection method of flow, it is characterised in that the virtual coil identifier is made using reflectorized material.
8. according to claim 7 realize the row array formula crossing array area car as claimed in claim 1 based on video mode The device of the detection method of flow, it is characterised in that the virtual coil identifier is numerical digit 1,2,3,4 with being oriented to arrow Combination.
9. according to claim 8 realize the row array formula crossing array area car as claimed in claim 1 based on video mode The device of the detection method of flow, it is characterised in that cover the virtual coil identifier to without described in vehicle covering from vehicle The process of virtual coil identifier completes a vehicle count.
10. the realization row array as claimed in claim 1 based on video mode according to claim 6 to 9 any one The device of the detection method of formula crossing array area vehicle flowrate, it is characterised in that generated using mixed Gaussian background modeling mode described The background image of virtual coil identifier.
CN201710313072.5A 2017-05-05 2017-05-05 The detection method and device of row array formula crossing array area vehicle flowrate based on video mode Withdrawn CN106991812A (en)

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