CN103871247A - Method and device for automatically obtaining minimum time between camera shooting points - Google Patents
Method and device for automatically obtaining minimum time between camera shooting points Download PDFInfo
- Publication number
- CN103871247A CN103871247A CN201410078877.2A CN201410078877A CN103871247A CN 103871247 A CN103871247 A CN 103871247A CN 201410078877 A CN201410078877 A CN 201410078877A CN 103871247 A CN103871247 A CN 103871247A
- Authority
- CN
- China
- Prior art keywords
- time
- camera shooting
- camera
- points
- minimum
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Landscapes
- Traffic Control Systems (AREA)
- Closed-Circuit Television Systems (AREA)
- Studio Devices (AREA)
Abstract
The invention provides a method for automatically obtaining minimum time between camera shooting points and a deck analysis method. The method for automatically obtaining the minimum time comprises the following steps: A, acquiring license plates shot by using a first camera within an ith time interval and shorting time point information specific to a history license plate database, and acquiring the shooting time point information of these license plates within a time interval which corresponds to the ith time interval respectively from license plates shot by using other cameras in a monitoring system; B, subtracting a shooting time point of each license plate in the first camera from the shooting time points of the license plate in other cameras to obtain a difference value serving as time when the shooting point in the first camera reaches the shooting point in each of the other cameras; C, filtering the time when the shooting point in the first camera reaches the shooting points in each of the other cameras respectively, and determining minimum time when corresponding shooting point in the first camera reaches the shooting point in each of the other cameras within the ith time interval. By adopting the method provided by the invention, the usability, user friendliness and accuracy of a deck analysis system are improved.
Description
Technical field
The present invention relates to technical field of video monitoring, relate in particular to the method and apparatus of minimum time between the each camera shooting point of a kind of automatic acquisition.
Background technology
Along with the quantity growth of urban taxi, there is increasing illegal taxi, for example interlope, fake license, fake-licensed car etc.These fake licenses, fake-licensed car illegal activities are becoming increasingly rampant, and seriously disrupt the market and social safety.Along with the fast development of Intelligent traffic management systems, the improvement of deck vehicle no longer adopts traditional artificial disc checking method, but the data of the license board information of collection and Surveillance center being preserved in advance by vehicle identification system compare, then analyzing and processing obtains illegal information of vehicles violating the regulations.Immediate prior art.
In the time catching fake-licensed car, the camera of available technology adopting video monitoring system is taken car plate, and uses car plate shooting time to carry out track collision analysis.Photograph same car plate if be engraved in the camera of different location two time, because fake-licensed car is the same scarcely with the track of former car, so take mistiming in moment according to two, and minimum time based on two camera intersite vehicle processes, can judge the possibility that whether has deck.If two to take mistimings in moment also less than above-mentioned minimum time, wherein having a car is exactly probably fake-licensed car.The method, for 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, may have up to ten million cameras, the minimum time of all cameras between is between two different, if by the configuration of manually carrying out minimum time, suitable large of workload.And at the different time of a day, a week, the minimum time between two cameras also may have obvious difference, only depend on a minimum time of configuration to carry out deck analysis, may have problems.So the method practical operation is numerous and diverse and accuracy is low, can cause available, the easy-to-use and accuracy problem of above-mentioned deck analytical approach.
Summary of the invention
In view of this, the invention provides the method and apparatus of minimum time between the each camera shooting point of a kind of automatic acquisition.
This method that automatically obtains minimum time between each camera shooting point is applied to the server in supervisory system, the method comprises: steps A, for historical car plate database, obtain car plate and shooting time dot information that first camera is taken within i time period, and in the car plate of taking at other cameras of this supervisory system, obtain respectively the shooting time dot information of these car plates in the time period corresponding with this i time period; Step B, each car plate is deducted to difference that the shooting time point in first camera obtains at other magazine shooting time points arrive time of each other camera shooting points as first camera shooting point; Step C, respectively described first camera shooting point was filtered to the time of each other camera shooting points, determine that first camera shooting point corresponding to this i time period is to the each minimum time of other camera shooting points.
Preferably, step C is specially: first camera shooting point is carried out respectively to ascending order arrangement to the time of each other camera shooting points, respectively the time of the front n% after sequence is filtered as noise data, using time minimum in the remaining time minimum time as first camera shooting point to each other camera shooting points respectively; Or, step C is specially: first camera shooting point is carried out respectively to ascending order or descending sort to the time of each other camera shooting points, obtain the sequence median Nmid of rear each group of time, using the product of each median and the r minimum time as first camera shooting point to each other camera shooting points respectively, r is default constant; Or, this step C is specially: first camera shooting point is carried out respectively to ascending order or descending sort to the time of each other camera shooting points, obtain the median Nmid of each group of time after sequence, fall with the data filtering that is greater than Nmid+d being less than Nmid-d in each group of time, using time minimum in the each group of remaining time minimum time as first camera shooting point to each other camera shooting points respectively; Wherein
δ=3, N (i) is the time in each group.
This is the server of the application of installation of minimum time in supervisory system between the each camera shooting point of acquisition automatically, this device comprises: car plate acquisition module, be used for for historical car plate database, obtain car plate and shooting time dot information that first camera is taken within i time period, and in the car plate of taking at other cameras of this supervisory system, obtain respectively the shooting time dot information of these car plates in the time period corresponding with this i time period; Time interval computing module, arrives the respectively time of other camera shooting points for each car plate is deducted to the difference obtaining at the shooting time point of first camera at other magazine shooting time points as first camera shooting point; Minimum time determination module, for respectively described first camera shooting point being filtered to the time of each other camera shooting points, determines that first camera shooting point corresponding to this i time period is to the each minimum time of other camera shooting points.
Preferably, this minimum time determination module is concrete to be carried out following operation and determines minimum time: by first camera shooting point to respectively the time of other camera shooting points is carried out respectively ascending order arrangement, respectively the time of the front n% after sequence is filtered as noise data, using time minimum in the remaining time minimum time as first camera shooting point to each other camera shooting points respectively; Or, minimum time determination module is concrete to be carried out following operation and determines minimum time: by first camera shooting point to respectively the time of other camera shooting points is carried out respectively ascending order or descending sort, obtain the sequence median Nmid of rear each group of time, using the product of each median and the r minimum time as first camera shooting point to each other camera shooting points respectively, r is default constant; Or, described minimum time determination module is concrete to be carried out following operation and determines minimum time: by first camera shooting point to respectively the time of other camera shooting points is carried out respectively ascending order or descending sort, obtain the median Nmid of each group of time after sequence, fall with the data filtering that is greater than Nmid+d being less than Nmid-d in each group of time, using time minimum in the each group of remaining time minimum time as first camera shooting point to each other camera shooting points respectively; Wherein
δ=3, N (i) is the time in each group.
Compared to prior art, the inventive method has improved availability, ease for use and the accuracy of deck analytic system.
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 installs building-block of logic in another enforcement of the present invention.
Embodiment
The present invention proposes a kind ofly to obtain the method for vehicles through two camera shooting point minimum times based on a large amount of traffic data automatic learnings.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 camera between two, thereby greatly improved availability, ease for use and the accuracy of this deck analytic system.Describe in detail below in conjunction with specific embodiment.
Please refer to the drawing 1, this figure has provided the flow process of minimum time method between the each camera shooting point of automatic acquisition.This flow process is by computer equipment, such as monitoring server is carried out.
S11, for historical car plate database, obtain car plate and shooting time dot information that first camera is taken within i time period, and in the car plate of taking at other cameras of this supervisory system, obtain respectively the shooting time dot information of these car plates in the time period corresponding with this i time period;
S12, each car plate is deducted to difference that the shooting time point in first camera obtains at other magazine shooting time points arrive time of each other camera shooting points as first camera shooting point;
S13, respectively first camera shooting point was filtered to the time of each other camera shooting points, determine that first camera shooting point corresponding to this i time period is to the each minimum time of other camera shooting points.
First camera shooting point was filtered to the time of each other camera shooting points, and a first camera shooting point corresponding to definite section sometime can adopt following several method to the minimum time of each other camera shooting points.
Method one, first camera shooting point is carried out respectively to ascending order arrangement to the time of each other camera shooting points, respectively the time of the front n% after sequence is filtered as noise data, using time minimum in the remaining time minimum time as first camera shooting point to each other camera shooting points respectively.
Method two, first camera shooting point is carried out respectively to ascending order or descending sort to the time of each other camera shooting points, obtain the sequence median Nmid of rear each group of time, using the product of each median and the r minimum time as first camera shooting point to each other camera shooting points respectively, r is default constant.
Method three, first camera shooting point is carried out respectively to ascending order or descending sort to the time of each other camera shooting points, obtain the median Nmid of each group of time after sequence, fall with the data filtering that is greater than Nmid+d being less than Nmid-d in each group of time, using time minimum in the each group of remaining time minimum time as first camera shooting point to each other camera shooting points respectively; Wherein
δ=3, N (i) is the time in each group.
In historical car plate database, preserve the historical car plate data that in whole supervisory system, all monitoring cameras are taken.It is historical datas that automatic learning of the present invention obtains the data that two minimum times between monitoring camera spot for photography utilize.The process of this automatic learning can be when server be more idle, or descends online on server and carry out automatic learning, after having learnt, the minimum time between each monitoring camera shooting point is uploaded on the server moving in supervisory system.The shooting point of the each camera position that namely each camera is installed.
The study why embodiment of the present invention carries out respectively minimum time according to different time sections is mainly to consider different time sections, and vehicle mobile minimum time difference 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 periods from camera 1 shooting point to the minimum time of camera 2 shooting points; Again such as the minimum time of vehicle process between two camera shooting points of arbitrary period on daytime is probably greater than arbitrary period in the evening; Again such as be probably greater than weekend same period to vehicle elapsed time between 9 o'clock two camera shooting points at 7 o'clock on working day.Carrying out between two camera shooting points in minimum time automatic learning, can carry out respectively using half an hour or 1 hour or other times granularity the statistics of minimum time as a time period.
Suppose that a supervisory system has 30 monitoring cameras, need to obtain now every two camera shooting points on Monday at 7 o'clock in the morning minimum time to 7 thirty.Minimum time take camera 1 shooting point to other 29 camera shooting points is as example, first obtains some all a whole mornings of camera 17 o'clock to 7 thirty captured all car plates and each car plate shooting time dot information.Suppose that the car plate quantity obtaining is 1000, be designated as car plate 1, car plate 2 ... car plate 999, car plate 1000.Secondly the car plate of, taking from other 29 cameras respectively, search this 1000 car plates.Search these 1000 car plates the car plate of taking from other 29 cameras in, preferably set a time seek scope corresponding with first camera car plate acquisition time.This corresponding time seek scope can add preset value on the basis of first camera car plate acquisition time scope.This preset value can be with reference to this supervisory system two at a distance of reached at the time between camera farthest.1 hour such as this can reach the time, in searching these 1000 car plates in other 29 cameras, set search time range be 7 o'clock to 8 thirty; The car plate of supposing to take from camera 2, found car plate 1～car plate 788, the time point of car plate 1 being taken in camera 2 deducts the time point that car plate 1 takes in camera 1 and obtains the time 1 of camera 1 shooting point to camera 2 shooting points; The time point that car plate 2 is taken in camera 2 deducts the time point that car plate 2 takes in camera 1 and obtains the time 2 of camera 1 to camera 2 shooting points; Use the same method and calculate the time of corresponding another 786 cameras 1 of car plate 3～car plate 788 to camera 2 shooting points; Thereby obtain the temporal information of one group of camera 1 shooting point to camera 2 shooting points, totally 788 data.For camera 3, the hypothesis that uses the same method has found car plate 1, car plate 4, car plate 19～car plate 608, the time point of car plate 1 being taken in camera 3 to deduct time point that car plate 1 takes in camera 1 to obtain camera 1 and arrive the time 1 of camera 3 shooting points from the car plate of its shooting; The time point that car plate 4 is taken in camera 3 deducts the time point that car plate 4 takes in camera 1 and obtains the time 2 of camera 1 to camera 3 shooting points; Corresponding another 589 camera 1 shooting points of same acquisition car plate 19～608 are to the time of camera 3 shooting points; Thereby one group of camera 1 shooting point of having got back is to the time of camera 3 shooting points, totally 591 data.Use similar method, can obtain the time of another 27 groups of camera 1 shooting points to other camera shooting points.Certainly likely there is no 27 groups of data, such as in the car plate data that some camera is taken, there is no the information of above-mentioned 1000 car plates, 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), think that these group data are invalid, equally also just cannot obtain the minimum time between two corresponding camera shooting points.
Suppose to obtain the 29 group time datas of camera 1 shooting point to other 29 camera shooting points, needed respectively every group of data to be processed, thereby obtained the minimum time of camera 1 shooting point to camera 2～camera 30 shooting points.
With camera 1 shooting point, to a group of camera 2 shooting points, 788 data instances, illustrates the minimum time that how to obtain camera 1 shooting point and arrive camera 2 shooting points.The present embodiment provides three kinds of methods.
Method one: these 788 data are sorted according to order from small to large, the time of front n% after sorting filters as noise data, such as front 3% data are got rid of, here being about to the 1st to 23 data filters out, by the time minimum in the remaining time, the 24th data as camera 1 shooting point the minimum time to camera 2 shooting points.
Method two: these 788 data are carried out respectively to ascending order or descending sort, obtain the sequence median Nmid of rear time, suppose that this median is 10 minutes, using the product of this median and the r minimum time as first camera shooting point to second camera shooting point respectively, r is default constant; Such as r is 0.8, first camera shooting point is 8 minutes to the minimum time of second camera shooting point.
Method three, these 788 data are carried out respectively to ascending order or descending sort, obtain the median Nmid of time after sequence, suppose that this median is 10 minutes, according to formula
calculate d value, supposing to calculate d value is 2 minutes, being less than to Nmid-d the time in these 788 data falls with the data filtering that is greater than Nmid+d, be about to be less than 8 minutes, be greater than the temporal filtering point of 12 minutes, using the time minimum time as first camera shooting point to second camera shooting point respectively minimum in remaining this group time.
Just obtain the minimum time of all a whole morning 7 point～7 camera thirty 1 shooting points to camera 2 shooting points by said method.
Profit uses the same method and obtains the minimum time of all a whole morning 7 point～7 camera thirty 1 shooting points to camera 3～30 shooting points.
Then calculate the 2nd time period, a camera 1 shooting point in 7 thirty～8 arrives respectively the minimum time of camera 2～30 these 29 shooting points, until the whole calculating of one day all time period is complete.In fact, the division of time period can be more flexible, such as, the time period in evening can be larger than the granularity that the time period on daytime divides; In one day, the gap length of each time period also can need to carry out not isometric setting according to other.
Above-described is minimum time corresponding to each time period of Monday, uses the same method and can calculate minimum time corresponding to each time period of Tuesday～Friday.Then can further the minimum time corresponding each time period be averaged, thereby obtain final corresponding minimum time of each time period on working day.
For can similarly obtaining minimum time corresponding to each time period weekend.
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 other 29 minimum times corresponding to camera shooting point different time sections.
The present invention program, for the acquisition of minimum time between two camera shooting points, without actual measurement, has strengthened 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, have avoided being configured to the inaccurate of a time at the minimum time of different time sections.
The minimum time obtaining based on said method, a kind of method that the present invention also provides deck to analyze, 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 is compared at the poor △ T of any two magazine shooting times and Q, if △ is T<Q, judge that described the first car plate exists deck, otherwise this car plate does not exist deck; Wherein Q=aT, a is default coefficient, T is the minimum time that obtains two camera shooting points of scheme acquisition according to above-mentioned minimum time.
In carrying out deck analysis, can carry out deck analysis to the car plate data in a period of time.Such as analyze on January 1 this day, 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.The mistiming △ T=2 of car plate 1 in camera A and camera B divides 36 seconds, supposes that camera 1 shooting point is 2 minutes to camera 2 shooting points at minimum time T corresponding to 6:30～7:00 time period, and coefficient a is 0.8, and 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 points at minimum time T corresponding to 6:30～7:00 time period, Q=6 divides 24 seconds, so still there is no deck.Use the same method and calculate car plate 1 in other any two magazine mistimings, and compare with these two corresponding minimum times of camera, judge whether deck.
Coefficient a can be according to the setting of wrong report TL, and such as a is set to 0.8, the expression mistiming will report deck while being less than minimum interval 80%, can reduce like this wrong report, but accuracy meeting be smaller; If a is set to 1.2, represent that the mistiming will report deck while being less than 1.2 times of minimum times, can reduce and fail to report like this, 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, the present invention also provides the device of minimum time between the each camera shooting point of a kind of automatic acquisition, 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, be used for for historical car plate database, obtain car plate and shooting time dot information that first camera is taken within i time period, and in the car plate of taking at other cameras of this supervisory system, obtain respectively the shooting time dot information of these car plates in the time period corresponding with this i time period.
Time interval computing module, arrives the respectively time of other camera shooting points for each car plate is deducted to the difference obtaining at the shooting time point of first camera at other magazine shooting time points as first camera shooting point.
Minimum time determination module, for respectively described first camera shooting point being filtered to the time of each other camera shooting points, determines that first camera shooting point corresponding to this i time period is to the each minimum time of other camera shooting points.
This minimum time determination module can be carried out to determine minimum time according to one of following three kinds of modes:
Mode one, first camera shooting point is carried out respectively to ascending order arrangement to the time of each other camera shooting points, respectively the time of the front n% after sequence is filtered as noise data, using time minimum in the remaining time minimum time as first camera shooting point to each other camera shooting points respectively.
Mode two, first camera shooting point is carried out respectively to ascending order or descending sort to the time of each other camera shooting points, obtain the sequence median Nmid of rear each group of time, using the product of each median and the r minimum time as first camera shooting point to each other camera shooting points respectively, r is default constant.
Mode three, first camera shooting point is carried out respectively to ascending order or descending sort to the time of each other camera shooting points, obtain the median Nmid of each group of time after sequence, fall with the data filtering that is greater than Nmid+d being less than Nmid-d in each group of time, using time minimum in the each group of remaining time minimum time as first camera shooting point to each other camera shooting points respectively; Wherein
δ=3, N (i) is the time in each group.
The present invention also provides a kind of device that utilizes the device of minimum time between the each camera shooting point of above-mentioned automatic acquisition 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 this first car plate is compared at the poor △ T of any two magazine shooting times and Q, if △ is T<Q, judge that described the first car plate exists deck, otherwise there is not deck in the first car plate; Wherein Q=aT, a is default coefficient, T is the described minimum time of these two camera shooting points.
The foregoing is only preferred embodiment of the present invention, in order to limit the present invention, within the spirit and principles in the present invention not all, any modification of making, be equal to replacement, improvement etc., within all should being included in the scope of protection of the invention.
Claims (10)
1. a method that automatically obtains minimum time between each camera shooting point, the method is applied to the server in supervisory system, it is characterized in that, and the method comprises:
Steps A, for historical car plate database, obtain car plate and shooting time dot information that first camera is taken within i time period, and in the car plate of taking at other cameras of this supervisory system, obtain respectively the shooting time dot information of these car plates in the time period corresponding with this i time period;
Step B, each car plate is deducted to difference that the shooting time point in first camera obtains at other magazine shooting time points arrive time of each other camera shooting points as first camera shooting point;
Step C, respectively described first camera shooting point was filtered to the time of each other camera shooting points, determine that first camera shooting point corresponding to this i time period is to the each minimum time of 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 respectively to ascending order arrangement to the time of each other camera shooting points, respectively the time of the front n% after sequence is filtered as noise data, using time minimum in the remaining time minimum time as first camera shooting point to each other camera shooting points respectively.
3. the method for claim 1, it is characterized in that, described step C is specially: first camera shooting point is carried out respectively to ascending order or descending sort to the time of each other camera shooting points, obtain the sequence median Nmid of rear each group of time, using the product of each median and the r minimum time as first camera shooting point to each other camera shooting points respectively, 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 respectively to ascending order or descending sort to the time of each other camera shooting points, obtain the median Nmid of each group of time after sequence, fall with the data filtering that is greater than Nmid+d being less than Nmid-d in each group of time, using time minimum in the each group of remaining time minimum time as first camera shooting point to each other camera shooting points respectively; Wherein
δ=3, N (i) is the time in each group.
5. the method that utilization is carried out deck analysis as claim 1～4 any one method obtains minimum time, 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 is compared at the poor △ T of any two magazine shooting times and Q, if △ is T<Q, judge that described the first car plate exists deck, otherwise the first car plate does not exist deck; Wherein Q=aT, a is default coefficient, T is the described minimum time of these two camera shooting points.
6. a device that automatically obtains 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, be used for for historical car plate database, obtain car plate and shooting time dot information that first camera is taken within i time period, and in the car plate of taking at other cameras of this supervisory system, obtain respectively the shooting time dot information of these car plates in the time period corresponding with this i time period;
Time interval computing module, arrives the respectively time of other camera shooting points for each car plate is deducted to the difference obtaining at the shooting time point of first camera at other magazine shooting time points as first camera shooting point;
Minimum time determination module, for respectively described first camera shooting point being filtered to the time of each other camera shooting points, determines that first camera shooting point corresponding to this i time period is to the each minimum time of other camera shooting points.
7. device as claimed in claim 6, is characterized in that, the concrete definite minimum time of following operation of carrying out of described minimum time determination module:
First camera shooting point is carried out respectively to ascending order arrangement to the time of each other camera shooting points, respectively the time of the front n% after sequence is filtered as noise data, using time minimum in the remaining time minimum time as first camera shooting point to each other camera shooting points respectively.
8. device as claimed in claim 6, is characterized in that, the concrete definite minimum time of following operation of carrying out of described minimum time determination module:
First camera shooting point is carried out respectively to ascending order or descending sort to the time of each other camera shooting points, obtain the sequence median Nmid of rear each group of time, using the product of each median and the r minimum time as first camera shooting point to each other camera shooting points respectively, r is default constant.
9. device as claimed in claim 6, is characterized in that, the concrete definite minimum time of following operation of carrying out of described minimum time determination module:
First camera shooting point is carried out respectively to ascending order or descending sort to the time of each other camera shooting points, obtain the median Nmid of each group of time after sequence, fall with the data filtering that is greater than Nmid+d being less than Nmid-d in each group of time, using time minimum in the each group of remaining time minimum time as first camera shooting point to each other camera shooting points respectively; Wherein
δ=3, N (i) is the time in each group.
10. the device that utilization is carried out deck analysis as claim 6～9 any one device obtains minimum time, 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 the poor △ T of any two magazine shooting times
Compare with Q, if △ is T<Q, judge that described the first car plate exists deck, otherwise the first car plate does not exist deck; Wherein Q=aT, a is default coefficient, T is the described minimum time of these two camera shooting points.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410078877.2A CN103871247B (en) | 2014-03-05 | 2014-03-05 | The method and apparatus of minimum time between a kind of automatic acquisition each camera shooting point |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410078877.2A CN103871247B (en) | 2014-03-05 | 2014-03-05 | The method and apparatus of minimum time between a kind of automatic acquisition each camera shooting point |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103871247A true CN103871247A (en) | 2014-06-18 |
| CN103871247B CN103871247B (en) | 2016-04-13 |
Family
ID=50909741
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410078877.2A Active CN103871247B (en) | 2014-03-05 | 2014-03-05 | The method and apparatus of minimum time between a kind of automatic acquisition each camera shooting point |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103871247B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104517445A (en) * | 2014-12-09 | 2015-04-15 | 浪潮电子信息产业股份有限公司 | Fake plate vehicle recognition method based on big data |
| CN105261221A (en) * | 2015-11-13 | 2016-01-20 | 浙江宇视科技有限公司 | Method for determining minimum vehicle-passing time difference between bayonets, fake plate analyzing method and related equipment |
| CN107886732A (en) * | 2017-11-20 | 2018-04-06 | 江苏网进科技股份有限公司 | One kind is violating the regulations to capture control system and its method |
| CN108470449A (en) * | 2017-02-23 | 2018-08-31 | 杭州海康威视数字技术股份有限公司 | Vehicle time threshold of crossing between bayonet determines method and device |
| CN109166321A (en) * | 2018-09-05 | 2019-01-08 | 武汉万集信息技术有限公司 | Road vehicles monitoring method and road vehicles monitor system |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004030136A (en) * | 2002-06-25 | 2004-01-29 | Hitachi Ltd | Monitoring system and monitoring service providing system |
| US7460028B2 (en) * | 2002-09-20 | 2008-12-02 | Elsag S.P.A. | Vehicle licence plates monitoring system |
| JP2009157439A (en) * | 2007-12-25 | 2009-07-16 | Fujitsu Ltd | Sensor diagnostic method and sensor diagnostic apparatus |
| CN101540105A (en) * | 2009-04-15 | 2009-09-23 | 四川川大智胜软件股份有限公司 | Fake-licensed car detection method based on number-plate identification and gridding supervision |
| CN101635093A (en) * | 2009-05-22 | 2010-01-27 | 上海宝康电子控制工程有限公司 | Identification system and method of unlicensed motor vehicles |
| KR20100104879A (en) * | 2009-03-19 | 2010-09-29 | (주)비오비네트웍스 | Measurement method of travel time using sequence pattern of vehicles |
| CN102436746A (en) * | 2011-09-29 | 2012-05-02 | 杭州海康威视系统技术有限公司 | High efficient and real-time analytical method of vehicle fake license suspicion and apparatus thereof |
| CN102881169A (en) * | 2012-09-26 | 2013-01-16 | 青岛海信网络科技股份有限公司 | Fake-licensed car detection method |
| CN102945605A (en) * | 2012-11-06 | 2013-02-27 | 东软集团股份有限公司 | Fake-licensed car identification method and system |
-
2014
- 2014-03-05 CN CN201410078877.2A patent/CN103871247B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004030136A (en) * | 2002-06-25 | 2004-01-29 | Hitachi Ltd | Monitoring system and monitoring service providing system |
| US7460028B2 (en) * | 2002-09-20 | 2008-12-02 | Elsag S.P.A. | Vehicle licence plates monitoring system |
| JP2009157439A (en) * | 2007-12-25 | 2009-07-16 | Fujitsu Ltd | Sensor diagnostic method and sensor diagnostic apparatus |
| EP2081165B1 (en) * | 2007-12-25 | 2012-02-08 | Fujitsu Limited | Sensor diagnostic apparatus and method thereof |
| KR20100104879A (en) * | 2009-03-19 | 2010-09-29 | (주)비오비네트웍스 | Measurement method of travel time using sequence pattern of vehicles |
| CN101540105A (en) * | 2009-04-15 | 2009-09-23 | 四川川大智胜软件股份有限公司 | Fake-licensed car detection method based on number-plate identification and gridding supervision |
| CN101635093A (en) * | 2009-05-22 | 2010-01-27 | 上海宝康电子控制工程有限公司 | Identification system and method of unlicensed motor vehicles |
| CN102436746A (en) * | 2011-09-29 | 2012-05-02 | 杭州海康威视系统技术有限公司 | High efficient and real-time analytical method of vehicle fake license suspicion and apparatus thereof |
| CN102881169A (en) * | 2012-09-26 | 2013-01-16 | 青岛海信网络科技股份有限公司 | Fake-licensed car detection method |
| CN102945605A (en) * | 2012-11-06 | 2013-02-27 | 东软集团股份有限公司 | Fake-licensed car identification method and system |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104517445A (en) * | 2014-12-09 | 2015-04-15 | 浪潮电子信息产业股份有限公司 | Fake plate vehicle recognition method based on big data |
| CN105261221A (en) * | 2015-11-13 | 2016-01-20 | 浙江宇视科技有限公司 | Method for determining minimum vehicle-passing time difference between bayonets, fake plate analyzing method and related equipment |
| 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 |
| CN108470449A (en) * | 2017-02-23 | 2018-08-31 | 杭州海康威视数字技术股份有限公司 | Vehicle time threshold of crossing between bayonet determines method and device |
| CN107886732A (en) * | 2017-11-20 | 2018-04-06 | 江苏网进科技股份有限公司 | One kind is violating the regulations to capture control system and its method |
| 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 |
| CN109166321A (en) * | 2018-09-05 | 2019-01-08 | 武汉万集信息技术有限公司 | Road vehicles monitoring method and road vehicles monitor system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103871247B (en) | 2016-04-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103871247B (en) | The method and apparatus of minimum time between a kind of automatic acquisition each camera shooting point | |
| US9336450B2 (en) | Methods and systems for selecting target vehicles for occupancy detection | |
| CN110855935B (en) | Personnel track generation system and method based on multiple cameras | |
| CN106887137B (en) | Congestion event prompting method and device | |
| CN108091140B (en) | Method and device for determining fake-licensed vehicle | |
| CN106971604B (en) | Parking space resource allocation method and device | |
| CN110751828B (en) | Road congestion measuring method and device, computer equipment and storage medium | |
| CN110942625B (en) | Dynamic OD estimation method and device based on real path flow backtracking adjustment | |
| CN109325429B (en) | Method, device, storage medium and terminal for associating feature data | |
| CN107645709B (en) | Method and device for determining personnel information | |
| CN102902960B (en) | Leave-behind object detection method based on Gaussian modelling and target contour | |
| CN110969215A (en) | Clustering method and device, storage medium and electronic device | |
| CN107862862B (en) | Vehicle behavior analysis method and device | |
| CN111126235A (en) | Method and device for detecting and processing illegal berthing of ship | |
| CN108230669B (en) | Road vehicle violation detection method and system based on big data and cloud analysis | |
| CN110851490B (en) | Vehicle travel common stay point mining method and device based on vehicle passing data | |
| CN108629982B (en) | Road section vehicle number estimation method based on travel time distribution rule | |
| CN109784220B (en) | Method and device for determining passerby track | |
| CN113591824B (en) | Traffic violation data entry anomaly detection method and device | |
| CN113487877A (en) | Road vehicle illegal parking monitoring method | |
| CN111613056A (en) | Traffic abnormal event detection method and device | |
| CN112380892A (en) | Image identification method, device, equipment and medium | |
| CN111369792B (en) | Traffic incident analysis method and device and electronic equipment | |
| CN110415511B (en) | Vehicle information management method, device and storage medium | |
| CN110415512B (en) | Vehicle information management method, device and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CB03 | Change of inventor or designer information | ||
| CB03 | Change of inventor or designer information |
Inventor after: Zhang Pengguo Inventor after: Zhang Lei Inventor after: Zhou Houqu Inventor before: Zhang Lei Inventor before: Zhou Houqu |