CN103871247B - The method and apparatus of minimum time between a kind of automatic acquisition each camera shooting point - Google Patents
The method and apparatus of minimum time between a kind of automatic acquisition each camera shooting point Download PDFInfo
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- CN103871247B CN103871247B CN201410078877.2A CN201410078877A CN103871247B CN 103871247 B CN103871247 B CN 103871247B CN 201410078877 A CN201410078877 A CN 201410078877A CN 103871247 B CN103871247 B CN 103871247B
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Abstract
The invention provides the method for minimum time between a kind of automatic acquisition each camera shooting point and the method for deck analysis.This method automatically obtaining minimum time comprises: A, for history car plate database, obtain the car plate taken within i-th time period of first camera and shooting time dot information, and in the car plate of other cameras of this supervisory system shooting, obtain the shooting time dot information of this car plate in the time period corresponding with this i-th time period respectively; B, each car plate is deducted at other magazine shooting time points difference that the shooting time point in first camera obtains to arrive other camera shooting points each time as first camera shooting point; C, respectively the time of described first camera shooting point to other camera shooting points each to be filtered, determine the minimum time of first camera shooting point corresponding to this i-th time period to each other camera shooting points.The inventive method improves the availability of deck analytic system, ease for use and accuracy.
Description
Technical field
The present invention relates to technical field of video monitoring, particularly relate to the method and apparatus of minimum time between a kind of automatic acquisition each camera shooting point.
Background technology
Along with the quantity of urban taxi increases, there is increasing illegal taxi, such as, interlope, fake license, fake-licensed car etc.These fake licenses, fake-licensed car illegal activities are becoming increasingly rampant, very disruptive market order and social safety.Along with the fast development of Intelligent traffic management systems, the improvement of fake license plate vehicle no longer adopts traditional artificial disc checking method, but by vehicle identification system, the data that the license board information of collection and Surveillance center are preserved in advance are compared, then analyzing and processing obtains illegal information of vehicles violating the regulations.Immediate prior art.
When catching fake-licensed car, adopting the camera shooting car plate of video monitoring system in prior art, and using car plate shooting time to carry out track collision analysis.If the camera being engraved in different location when two photographs same car plate, because fake-licensed car is the same scarcely with the track of former car, so according to mistiming in two shooting moment, and based on the minimum time of two camera intersite vehicle processes, the possibility that whether there is deck can be judged.If namely the mistiming in two shooting moment is also less than above-mentioned minimum time, then a car is wherein had to be exactly probably fake-licensed car.The method is that the true and false deck of subsequent analysis provides important decision-making foundation, improves the work efficiency of administrative authority.
In prior art, the minimum time of above-mentioned two camera intersite vehicle processes is by being manually configured.But in a large-scale supervisory system, up to ten million cameras may be there are, all cameras between two between minimum time different, if by the configuration manually carrying out minimum time, suitable large of workload.Further, at the different time of a day, a week, the minimum time between two cameras also may have obvious difference, and a minimum time only by configuration performs deck analysis, may have problems.Institute in this way practical operation is numerous and diverse and accuracy is low, can cause the available, easy-to-use of above-mentioned deck analytical approach and accuracy problem.
Summary of the invention
In view of this, the invention provides the method and apparatus of minimum time between a kind of automatic acquisition each camera shooting point.
This method automatically obtaining minimum time between each camera shooting point is applied to the server in supervisory system, the method comprises: steps A, for history car plate database, obtain the car plate taken within i-th time period of first camera and shooting time dot information, and in the car plate of other cameras of this supervisory system shooting, obtain the shooting time dot information of this car plate in the time period corresponding with this i-th time period respectively; Step B, each car plate is deducted at other magazine shooting time points difference that the shooting time point in first camera obtains to arrive other camera shooting points each time as first camera shooting point; Step C, respectively the time of described first camera shooting point to other camera shooting points each to be filtered, determine the minimum time of first camera shooting point corresponding to this i-th time period to each other camera shooting points.
Preferably, step C is specially: first camera shooting point is carried out ascending order arrangement respectively to the time of other camera shooting points each, respectively time of n% before after sequence is filtered as noise data, using the time minimum in the remaining time as first camera shooting point to the minimum time of each other camera shooting points; Or, step C is specially: first camera shooting point is carried out ascending order or descending sort respectively to the time of other camera shooting points each, obtain the median Nmid of sequence rear each group of time, using the product of each median and r as first camera shooting point to the minimum time of other camera shooting points each, r is default constant; Or, this step C is specially: first camera shooting point is carried out ascending order or descending sort respectively to the time of other camera shooting points each, obtain the median Nmid of each group of time after sequence, fall being less than Nmid-d in each group of time with the data filtering being greater than Nmid+d, using the time minimum in each group of remaining time as first camera shooting point to the minimum time of other camera shooting points each; Wherein
δ=3, N (i) is the time in each group.
This obtains the server of application of installation in supervisory system of minimum time between each camera shooting point automatically, this device comprises: car plate acquisition module, for for history car plate database, obtain the car plate taken within i-th time period of first camera and shooting time dot information, and in the car plate of other cameras of this supervisory system shooting, obtain the shooting time dot information of this car plate in the time period corresponding with this i-th time period respectively; Time interval computing module, for deducting at other magazine shooting time points difference that the shooting time point in first camera obtains to arrive other camera shooting points each time as first camera shooting point using each car plate; Minimum time determination module, for filtering the time of described first camera shooting point to other camera shooting points each respectively, determines the minimum time of first camera shooting point corresponding to this i-th time period to each other camera shooting points.
Preferably, this minimum time determination module specifically performs following operation and determines minimum time: first camera shooting point is carried out ascending order arrangement respectively to the time of other camera shooting points each, respectively time of n% before after sequence is filtered as noise data, using the time minimum in the remaining time as first camera shooting point to the minimum time of each other camera shooting points; Or, minimum time determination module specifically performs following operation and determines minimum time: first camera shooting point is carried out ascending order or descending sort respectively to the time of other camera shooting points each, obtain the median Nmid of sequence rear each group of time, using the product of each median and r as first camera shooting point to the minimum time of other camera shooting points each, r is default constant; Or, described minimum time determination module specifically performs following operation and determines minimum time: first camera shooting point is carried out ascending order or descending sort respectively to the time of other camera shooting points each, obtain the median Nmid of each group of time after sequence, fall being less than Nmid-d in each group of time with the data filtering being greater than Nmid+d, using the time minimum in each group of remaining time as first camera shooting point to the minimum time of other camera shooting points each; Wherein
δ=3, N (i) is the time in each group.
Compared to prior art, the inventive method improves the availability of deck analytic system, ease for use and accuracy.
Accompanying drawing explanation
Fig. 1 is embodiment of the present invention process flow diagram.
Fig. 2 is another embodiment of the present invention process flow diagram.
Fig. 3 is embodiment of the present invention device building-block of logic.
Fig. 4 is device building-block of logic in another enforcement of the present invention.
Embodiment
The present invention proposes a kind of based on the method for a large amount of traffic data automatic learning acquisition vehicle through two camera shooting point minimum times.The method is according to historical traffic data, the minimum time of vehicle process between any two cameras of automatic learning, and can revise flexibly according to the periodicity of historical traffic data, do not need user to the fixed configurations one by one of the minimum time between two between camera, thus greatly improve the availability of this deck analytic system, ease for use and accuracy.Describe in detail below in conjunction with specific embodiment.
Please refer to the drawing 1, it gives the flow process automatically obtaining minimum time method between each camera shooting point.This flow process is by computer equipment, and such as monitoring server performs.
S11, for history car plate database, obtain the car plate taken within i-th time period of first camera and shooting time dot information, and in the car plate of other cameras of this supervisory system shooting, obtain the shooting time dot information of this car plate in the time period corresponding with this i-th time period respectively;
S12, each car plate is deducted at other magazine shooting time points difference that the shooting time point in first camera obtains to arrive other camera shooting points each time as first camera shooting point;
S13, respectively the time of first camera shooting point to other camera shooting points each to be filtered, determine the minimum time of first camera shooting point corresponding to this i-th time period to each other camera shooting points.
Filtering the time of first camera shooting point to other camera shooting points each, determine that the first camera shooting point of section correspondence sometime can adopt following several method to the minimum time of other camera shooting points each.
Method one, first camera shooting point is carried out ascending order arrangement respectively to the time of other camera shooting points each, respectively time of n% before after sequence is filtered as noise data, using the time minimum in the remaining time as first camera shooting point to the minimum time of each other camera shooting points.
Method two, first camera shooting point is carried out ascending order or descending sort respectively to the time of other camera shooting points each, obtain the median Nmid of sequence rear each group of time, using the product of each median and r as first camera shooting point to the minimum time of other camera shooting points each, r is default constant.
Method three, first camera shooting point is carried out ascending order or descending sort respectively to the time of other camera shooting points each, obtain the median Nmid of each group of time after sequence, fall being less than Nmid-d in each group of time with the data filtering being greater than Nmid+d, using the time minimum in each group of remaining time as first camera shooting point to the minimum time of other camera shooting points each; Wherein
δ=3, N (i) is the time in each group.
The history car plate data of all monitoring camera shootings in whole supervisory system are preserved in history car plate database.It is historical datas that automatic learning of the present invention obtains the data that the minimum time between two monitoring camera spots for photography utilizes.The process of this automatic learning when server is more idle, or online lower server can carry out automatic learning, is uploaded to by the minimum time between each monitoring camera shooting point on the server run in supervisory system after having learnt.The position that the shooting point of each camera i.e. each camera are installed.
The study why embodiment of the present invention carries out minimum time respectively according to different time sections mainly considers different time sections, and the minimum time difference of vehicle movement between two camera shooting points is probably larger.Such as 7 o'clock to the 9 o'clock periods of morning peak are probably greater than 10 o'clock to 12 o'clock period from camera 1 shooting point to the minimum time of camera 2 shooting point; Such as between any time period on daytime two camera shooting points, the minimum time of vehicle process is probably greater than any time period in evening again; Between such as 7 o'clock working days to 9 o'clock two camera shooting points, vehicle elapsed time is probably greater than the same period at weekend again.Carrying out between two camera shooting points when minimum time automatic learning, the statistics of minimum time can be carried out using half an hour or 1 hour or other times granularity respectively as a time period.
Suppose that a supervisory system has 30 monitoring cameras, need now obtain every two camera shooting points on Monday at 7 o'clock in the morning minimum time to 7 thirty.For the minimum time of camera 1 shooting point to other 29 camera shooting points, first obtain all car plates captured by the some all a whole mornings of camera 17 o'clock to 7 thirty and each car plate shooting time dot information.Suppose that the car plate quantity obtained is 1000, be designated as car plate 1, car plate 2 ... car plate 999, car plate 1000.Secondly, from the car plate of other 29 camera shootings, this 1000 car plates are searched respectively.A time seek scope corresponding with first camera car plate acquisition time is preferably set when searching these 1000 car plates in the car plate from other 29 cameras shootings.The time seek scope of this correspondence can add preset value on the basis of first camera car plate acquisition time scope.This preset value can with reference to reached at the time between the camera of this supervisory system two lie farthest away.Such as this can reach the time is 1 hour, then when searching these 1000 car plates in other 29 cameras, setting search time range be 7 o'clock to 8 thirty; Suppose to have found car plate 1 ~ car plate 788 car plate taken from camera 2, then the time point that car plate 1 is taken in camera 2 is deducted the time point that car plate 1 takes in camera 1 and obtain the time 1 of camera 1 shooting point to camera 2 shooting point; The time point that car plate 2 is taken in camera 2 is deducted the time point that car plate 2 takes in camera 1 and obtain the time 2 of camera 1 to camera 2 shooting point; Use the same method and calculate the time of another 786 cameras 1 corresponding to car plate 3 ~ car plate 788 to camera 2 shooting point; Thus obtain the temporal information of one group of camera 1 shooting point to camera 2 shooting point, totally 788 data.For camera 3, the hypothesis that uses the same method have found car plate 1, car plate 4, car plate 19 ~ car plate 608 from car plate of its shooting, then the time point that car plate 1 take in camera 3 is deducted the time point that car plate 1 takes in camera 1 and obtain the time 1 that camera 1 arrives camera 3 shooting point; The time point that car plate 4 is taken in camera 3 is deducted the time point that car plate 4 takes in camera 1 and obtain the time 2 of camera 1 to camera 3 shooting point; Another 589 camera 1 shooting points corresponding to same acquisition car plate 19 ~ 608 are to the time of camera 3 shooting point; Thus got back the time of one group of camera 1 shooting point to camera 3 shooting point, totally 591 data.By similar method, the time of another 27 groups of camera 1 shooting points to other camera shooting points can be obtained.Certainly likely there is no 27 groups of data, such as there is no the information of above-mentioned 1000 car plates in the car plate data of some camera shooting, so just cannot obtain the time of camera 1 shooting point to this camera shooting point.In addition, if a certain group obtains data considerably less (such as 3 data), then think and equally also just cannot obtain the minimum time between two corresponding camera shooting points by this group data invalid.
Suppose to obtain the 29 group time datas of camera 1 shooting point to other 29 camera shooting points, need to process often organizing data respectively, thus obtain the minimum time of camera 1 shooting point to camera 2 ~ camera 30 shooting point.
With to camera 2 shooting point one group of camera 1 shooting point, 788 data instances, illustrate and how to obtain the minimum time of camera 1 shooting point to camera 2 shooting point.Present embodiments provide three kinds of methods.
Method one: these 788 data are sorted according to order from small to large, time of n% before after sequence is filtered as noise data, such as the data of front 3% are got rid of, here be about to the 1 to 23 data filter out, by the time minimum in the remaining time, namely the 24th data are as the minimum time of camera 1 shooting point to camera 2 shooting point.
Method two: these 788 data are carried out ascending order or descending sort respectively, obtain the median Nmid of sequence rear time, suppose that this median is 10 minutes, using the minimum time of product as first camera shooting point to second camera shooting point of this median and r, r is default constant; Such as r is 0.8, then first camera shooting point is 8 minutes to the minimum time of second camera shooting point.
Method three, these 788 data are carried out ascending order or descending sort respectively, obtain the median Nmid of time after sequence, suppose that this median is 10 minutes, according to formula
calculate d value, suppose that calculating d value is 2 minutes, then is less than Nmid-d the time in these 788 data to fall with the data filtering being greater than Nmid+d, be about to be less than 8 minutes, be greater than the temporal filtering point of 12 minutes, using the minimum time of time as first camera shooting point to second camera shooting point minimum in remaining for this group time.
The minimum time of all a whole morning 7 points ~ 7 camera 1 shooting point thirty to camera 2 shooting point is just obtained by said method.
Profit uses the same method and obtains the minimum time of all a whole morning 7 points ~ 7 camera 1 shooting point thirty to camera 3 ~ 30 shooting point.
Then calculate the 2nd time period, namely 7 thirty ~ 8 camera 1 shooting points arrive the minimum time of these 29 shooting points of camera 2 ~ 30 respectively, until one day all time period all calculates complete.In fact, the division of time period can be relatively more flexible, and such as, the granularity that the time period in evening can divide than the time period on daytime is larger; In one day, the gap length of each time period also can need according to other setting carrying out Length discrepancy.
Above-described is minimum time corresponding to Monday each time period, use the same method can calculate Tuesday ~ minimum time corresponding to Friday each time period.Then further the minimum time corresponding each time period can be averaged, thus obtain final corresponding minimum time of each time period on working day.
For weekend can be similar obtain minimum time corresponding to each time period.
More than the zequin using camera 1 as minimum time corresponding to each time period.For other cameras, camera 2 ~ camera 30 uses the same method and calculates each camera shooting point to minimum time corresponding to other 29 camera shooting point different time sections.
The present invention program, for the acquisition of minimum time between two camera shooting points, without actual measurement, enhances availability; The minimum time of two camera shooting points need not configure one by one, by historical data automatic learning, very convenient: two camera shooting points according to historical data automatic learning at the minimum time of different time sections, avoid and are configured to the inaccurate of a time.
Based on the minimum time that said method obtains, present invention also offers a kind of method that deck is analyzed, the method is applied to the server in supervisory system.Implementing procedure of the present invention shown in please refer to the drawing 2.
Step S21, obtain the first car plate at each magazine shooting time;
Step S22, this car plate to be compared at any two magazine shooting times difference △ T and Q, if △ is T<Q, then judge that described first car plate exists deck, otherwise this car plate does not exist deck; Wherein Q=aT, a are default coefficients, and T is the minimum time obtaining two camera shooting points that scheme obtains according to above-mentioned minimum time.
When carrying out deck analysis, deck analysis can be carried out to the car plate data in a period of time.Such as analyze this sky on January 1, whether car plate 1 has deck.Server obtains each camera and claps to obtain time of car plate 1, such as, in camera A ~ H, the time point that car plate 1 is taken is respectively after sequence: 06:30:00,06:32:36,06:37:40,06:41:06,06:44:00,06:45:36,06:46:16,06:47:56.Car plate 1 the mistiming △ T=2 in camera A and camera B divide 36 seconds, suppose that camera 1 shooting point is 2 minutes to camera 2 shooting point at the minimum time T that 6:30 ~ 7:00 time period is corresponding, coefficient a is 0.8, then Q=1 minute 36 seconds, so current car plate 1 does not have deck; Continue to calculate the mistiming △ T=7 of car plate 1 in camera A and camera C and divide 40 seconds, suppose that camera 1 shooting point is 8 minutes to camera 2 shooting point at the minimum time T that 6:30 ~ 7:00 time period is corresponding, then Q=6 divides 24 seconds, so still do not have deck.Use the same method and calculate car plate 1 in other any two magazine mistimings, and and this minimum time corresponding to two cameras compare, judge whether deck.
Coefficient a can be arranged according to wrong report TL, and such as a is set to 0.8, represents that the mistiming will report deck when being less than minimum interval 80%, can reduce wrong report like this, but accuracy can be smaller; If a is set to 1.2, then represent that the mistiming will report deck when being less than minimum time 1.2 times, can reduce like this and fail to report, but wrong report can be some more; So user can be different according to actual needs, carry out the configuration of coefficient flexibly according to application scenarios.
Based on same design, present invention also offers the device of minimum time between a kind of automatic acquisition each camera shooting point, the server of this application of installation in supervisory system.Please refer to the drawing 3, this device comprises: car plate acquisition module, time interval computing module and minimum time determination module.
Wherein, car plate acquisition module, for for history car plate database, obtain the car plate taken within i-th time period of first camera and shooting time dot information, and in the car plate of other cameras of this supervisory system shooting, obtain the shooting time dot information of this car plate in the time period corresponding with this i-th time period respectively.
Time interval computing module, for deducting at other magazine shooting time points difference that the shooting time point in first camera obtains to arrive other camera shooting points each time as first camera shooting point using each car plate.
Minimum time determination module, for filtering the time of described first camera shooting point to other camera shooting points each respectively, determines the minimum time of first camera shooting point corresponding to this i-th time period to each other camera shooting points.
This minimum time determination module can perform according to one of following three kinds of modes to determine minimum time:
Mode one, first camera shooting point is carried out ascending order arrangement respectively to the time of other camera shooting points each, respectively time of n% before after sequence is filtered as noise data, using the time minimum in the remaining time as first camera shooting point to the minimum time of each other camera shooting points.
Mode two, first camera shooting point is carried out ascending order or descending sort respectively to the time of other camera shooting points each, obtain the median Nmid of sequence rear each group of time, using the product of each median and r as first camera shooting point to the minimum time of other camera shooting points each, r is default constant.
Mode three, first camera shooting point is carried out ascending order or descending sort respectively to the time of other camera shooting points each, obtain the median Nmid of each group of time after sequence, fall being less than Nmid-d in each group of time with the data filtering being greater than Nmid+d, using the time minimum in each group of remaining time as first camera shooting point to the minimum time of other camera shooting points each; Wherein
δ=3, N (i) is the time in each group.
The present invention also provides a kind of device utilizing the device of minimum time between above-mentioned automatic acquisition each camera shooting point to carry out deck analysis, the server of this application of installation in supervisory system.Please refer to the drawing 4, this device comprises: shooting time acquisition module, deck judge module.
Wherein, shooting time acquisition module, for obtaining the first car plate at each magazine shooting time; This deck judge module, for being compared at any two magazine shooting time difference △ T and Q by this first car plate, if △ is T<Q, then judge that described first car plate exists deck, otherwise there is not deck in the first car plate; Wherein Q=aT, a are default coefficients, and T is the described minimum time of these two camera shooting points.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment made, equivalent replacement, improvement etc., all should be included within the scope of protection of the invention.
Claims (10)
1. automatically obtain a method for minimum time between each camera shooting point, the method is applied to the server in supervisory system, it is characterized in that, the method comprises:
Steps A, for history car plate database, obtain the car plate taken within i-th time period of first camera and shooting time dot information, and in the car plate of other cameras of this supervisory system shooting, obtain the shooting time dot information of this car plate in the time period corresponding with this i-th time period respectively;
Step B, each car plate is deducted at other magazine shooting time points difference that the shooting time point in first camera obtains to arrive other camera shooting points each time as first camera shooting point;
Step C, respectively the time of described first camera shooting point to other camera shooting points each to be filtered, determine the minimum time of first camera shooting point corresponding to this i-th time period to each other camera shooting points.
2. the method for claim 1, it is characterized in that, described step C is specially: first camera shooting point is carried out ascending order arrangement respectively to the time of other camera shooting points each, respectively time of n% before after sequence is filtered as noise data, using the time minimum in the remaining time as first camera shooting point to the minimum time of each other camera shooting points.
3. the method for claim 1, it is characterized in that, described step C is specially: first camera shooting point is carried out ascending order or descending sort respectively to the time of other camera shooting points each, obtain the median Nmid of sequence rear each group of time, using the product of each median and r as first camera shooting point to the minimum time of other camera shooting points each, r is default constant.
4. the method for claim 1, it is characterized in that, described step C is specially: first camera shooting point is carried out ascending order or descending sort respectively to the time of other camera shooting points each, obtain the median Nmid of each group of time after sequence, fall being less than Nmid-d in each group of time with the data filtering being greater than Nmid+d, using the time minimum in each group of remaining time as first camera shooting point to the minimum time of other camera shooting points each; Wherein
δ=3, N (i) is the time in each group; N is the total number one group of time comprising time data; I is the arrangement sequence number in the one group time of a time data after sequence.
5. utilize as any one of Claims 1 to 4 method obtains the method that minimum time carries out deck analysis, the method is applied to the server in supervisory system, and the method comprises:
A, obtain the first car plate at each magazine shooting time;
B, this car plate to be compared at any two magazine shooting times difference △ T and Q, if △ is T<Q, then judge that described first car plate exists deck, otherwise the first car plate does not exist deck; Wherein Q=aT, a are default coefficients, and T is the described minimum time of these two camera shooting points.
6. automatically obtain a device for minimum time between each camera shooting point, the server of this application of installation in supervisory system, is characterized in that, this device comprises:
Car plate acquisition module, for for history car plate database, obtain the car plate taken within i-th time period of first camera and shooting time dot information, and in the car plate of other cameras of this supervisory system shooting, obtain the shooting time dot information of this car plate in the time period corresponding with this i-th time period respectively;
Time interval computing module, for deducting at other magazine shooting time points difference that the shooting time point in first camera obtains to arrive other camera shooting points each time as first camera shooting point using each car plate;
Minimum time determination module, for filtering the time of described first camera shooting point to other camera shooting points each respectively, determines the minimum time of first camera shooting point corresponding to this i-th time period to each other camera shooting points.
7. device as claimed in claim 6, is characterized in that, described minimum time determination module specifically performs following operation and determines minimum time:
First camera shooting point is carried out ascending order arrangement respectively to the time of other camera shooting points each, respectively time of n% before after sequence is filtered as noise data, using the time minimum in the remaining time as first camera shooting point to the minimum time of each other camera shooting points.
8. device as claimed in claim 6, is characterized in that, described minimum time determination module specifically performs following operation and determines minimum time:
First camera shooting point is carried out ascending order or descending sort respectively to the time of other camera shooting points each, obtain the median Nmid of sequence rear each group of time, using the product of each median and r as first camera shooting point to the minimum time of other camera shooting points each, r is default constant.
9. device as claimed in claim 6, is characterized in that, described minimum time determination module specifically performs following operation and determines minimum time:
First camera shooting point is carried out ascending order or descending sort respectively to the time of other camera shooting points each, obtain the median Nmid of each group of time after sequence, fall being less than Nmid-d in each group of time with the data filtering being greater than Nmid+d, using the time minimum in each group of remaining time as first camera shooting point to the minimum time of other camera shooting points each; Wherein
δ=3, N (i) is the time in each group; N is the total number one group of time comprising time data; I is the arrangement sequence number in the one group time of a time data after sequence.
10. utilize as any one of claim 6 ~ 9 device obtains the device that minimum time carries out deck analysis, the server of this application of installation in supervisory system, this device comprises:
Shooting time acquisition module, for obtaining the first car plate at each magazine shooting time;
Deck judge module, for by this first car plate at any two magazine shooting times difference △ T
Compare with Q, if △ is T<Q, then judge that described first car plate exists deck, otherwise the first car plate does not exist deck; Wherein Q=aT, a are default coefficients, and T is the described minimum time of these two camera shooting points.
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| CN105261221B (en) * | 2015-11-13 | 2017-12-15 | 浙江宇视科技有限公司 | The bayonet socket minimum car time difference excessively determines method, deck analysis method and relevant apparatus |
| CN108470449B (en) * | 2017-02-23 | 2020-12-25 | 杭州海康威视数字技术股份有限公司 | Method and device for determining time threshold value during passing between bayonets |
| CN107886732B (en) * | 2017-11-20 | 2020-09-08 | 江苏网进科技股份有限公司 | Violation snapshot control system and method thereof |
| CN109166321B (en) * | 2018-09-05 | 2020-08-11 | 武汉万集信息技术有限公司 | Road traffic vehicle monitoring method and road traffic vehicle monitoring system |
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