CN104715612B - The suspected vehicles tracking and device realized based on wheelpath matching - Google Patents

The suspected vehicles tracking and device realized based on wheelpath matching Download PDF

Info

Publication number
CN104715612B
CN104715612B CN201310683874.7A CN201310683874A CN104715612B CN 104715612 B CN104715612 B CN 104715612B CN 201310683874 A CN201310683874 A CN 201310683874A CN 104715612 B CN104715612 B CN 104715612B
Authority
CN
China
Prior art keywords
wheelpath
target
vehicle
driver
driving
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.)
Active
Application number
CN201310683874.7A
Other languages
Chinese (zh)
Other versions
CN104715612A (en
Inventor
董平
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing ZNV Software Co Ltd
Original Assignee
Nanjing ZNV Software Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Nanjing ZNV Software Co Ltd filed Critical Nanjing ZNV Software Co Ltd
Priority to CN201310683874.7A priority Critical patent/CN104715612B/en
Publication of CN104715612A publication Critical patent/CN104715612A/en
Application granted granted Critical
Publication of CN104715612B publication Critical patent/CN104715612B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • 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
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/017Detecting movement of traffic to be counted or controlled identifying vehicles

Landscapes

  • 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 suspected vehicles trackings realized based on wheelpath matching, device, equipment and system, method provided by the invention, target wheelpath input first by detection on traffic map, later according to the time qualifications of input from being obtained in bayonet database and the driving recording that matches of discrete bayonet location tags in the target wheelpath, a plurality of suspicion wheelpath is formed according to the driving recording again later, and finally the suspicion wheelpath is matched with target wheelpath, when the coincidence factor for meeting the two is greater than the condition of predetermined threshold value, export license board information corresponding with the suspicion wheelpath.The complexity of operation is significantly reduced in the magnanimity wheelpath between starting point bayonet and terminal bayonet without exhaustion using the present invention, there is better availability.

Description

The suspected vehicles tracking and device realized based on wheelpath matching
Technical field
The present invention relates to vehicle tracking technical fields, can be used for intelligent transportation field in particular to one kind, public security is led Suspected vehicles tracking, device, equipment and the system realized based on wheelpath matching in domain or safe city field.
Background technique
Currently, a large amount of Vehicle Detection equipment is deployed on highways at different levels, to monitor and acquire dealing vehicle in real time Information.In general, this type of information can provide basic basis for concrete applications such as police criminal detection, traffic administrations, such as Vehicle theft, escaping behavior after traffic accident, suspected vehicles such as are run away at the concrete application scenes.
In the prior art, patent (application number: CN201010283254.0, denomination of invention: a kind of based on crash analysis Suspicion vehicle analysis method) first according to the beginning and end of suspected vehicles, it then extracts again according to beginning and end institute energy Complete bayonet information on the every driving path enough got, last combining target suspected vehicles cross vehicle image and vehicle Register information analyzes the matching degree of suspected vehicles and these numerous driving paths, finally to determine which record meets suspicion vehicle Feature.
However, as shown in Figure 1, the bayonet quantity between specified starting point bayonet and terminal bayonet is often more, with Cause the driving path quantity that can be obtained by the starting point bayonet and terminal bayonet very big, when using the technical solution to every Complete bayonet information combining target suspected vehicles on driving path cross vehicle image and vehicle registration information to suspected vehicles into When row the matching analysis, cause computational complexity height, program time-consuming very long.
Summary of the invention
When in order to solve suspected vehicles the matching analysis existing in the prior art, computational complexity is high, time-consuming for program Defect, the embodiment of the present invention are designed to provide a kind of suspected vehicles tracking, dress that realization is matched based on wheelpath It sets, equipment and system.
In order to achieve the above object, the embodiment of the present invention is implemented with the following technical solutions:
A kind of suspected vehicles tracking realized based on wheelpath matching comprising:
The target wheelpath input on traffic map is detected, and obtains the time qualifications of user's input;
The discrete bayonet location tags being on the target wheelpath are obtained, and according to the time qualifications The driving recording collection being consistent with the discrete bayonet location tags is obtained from bayonet database, wherein the driving recording packet License board information, running time information and bayonet location information containing vehicle;
The driving recording concentrated according to license board information to the driving recording is grouped, and to the driving in each grouping Record is ranked up according to time sequencing, obtains suspicion corresponding with license board information according to sorted bayonet location information later Wheelpath;
The suspicion wheelpath is matched with target wheelpath, when the coincidence factor of the two is greater than predetermined threshold value When, export license board information corresponding with the suspicion wheelpath.
Preferably, the driving recording further includes driving image, running speed, driving direction, illegal attribute, license plate class Not, license plate color, vehicle size, vehicular applications, vehicle color, vehicle model, driver identity, driver's driving age, driver Gender, driver's contact method, driver's driving license classification, driver's driver's license licence issuing authority, vehicle licence issuing authority, driver drive Sail card data of issue, vehicle data of issue, vehicle annual test record, vehicle registration classification, vehicle seat digit.
Preferably, target wheelpath of the detection on traffic map, which inputs, includes:
It detects and the contact for the touch-sensitive screen for showing traffic map;
According to the contact trace of the contact, the input of target wheelpath is obtained.
Preferably, target wheelpath of the detection on traffic map, which inputs, includes:
Detect the selection icon object sliding on traffic map;
The input of target wheelpath is obtained according to the sliding.
Preferably, target wheelpath of the detection on traffic map, which inputs, includes:
The movement of activation mouse pointer of the detection on traffic map;
It is inputted according to the mobile target wheelpath that obtains.
A kind of suspected vehicles tracking device realized based on wheelpath matching comprising:
Detection module, for detecting the input of the target wheelpath on traffic map;
Module is obtained, for obtaining the time qualifications of user's input;
Information extraction modules, for obtaining the discrete bayonet location tags being on the target wheelpath, and according to The driving recording collection being consistent with the discrete bayonet location tags is obtained from bayonet database according to the time qualifications, In, the driving recording includes license board information, running time information and the bayonet location information of vehicle;
Trajectory analysis module, the driving recording for concentrating according to license board information to the driving recording are grouped, and Driving recording in each grouping is ranked up according to time sequencing, later according to sorted bayonet location information obtain with The corresponding suspicion wheelpath of license board information;
Matched jamming module, for matching the suspicion wheelpath with target wheelpath, when the weight of the two When conjunction rate is greater than predetermined threshold value, license board information corresponding with the suspicion wheelpath is supplied to display module;
Display module, for showing the license board information.
Preferably, the driving recording further includes driving image, running speed, driving direction, illegal attribute, license plate class Not, license plate color, vehicle size, vehicular applications, vehicle color, vehicle model, driver identity, driver's driving age, driver Gender, driver's contact method, driver's driving license classification, driver's driver's license licence issuing authority, vehicle licence issuing authority, driver drive Sail card data of issue, vehicle data of issue, vehicle annual test record, vehicle registration classification, vehicle seat digit.
Preferably, the display module is touch-sensitive screen, and the detection module includes:
First detection sub-unit, for detecting and the contact for the touch-sensitive screen for showing traffic map;
First track obtains subelement, for the contact trace according to the contact, obtains the input of target wheelpath.
Preferably, the detection module includes:
Second detection sub-unit, for detecting the sliding of the selection icon object on traffic map;
Second track obtains subelement, for obtaining the input of target wheelpath according to the sliding.
Preferably, the detection module includes:
Third detection sub-unit, for detecting the movement of the activation mouse pointer on traffic map;
Third track obtains subelement, for inputting according to the mobile target wheelpath that obtains.
A kind of electronic equipment comprising the suspected vehicles tracking device realized as described above based on wheelpath matching, Described device includes:
Detection module, for detecting the input of the target wheelpath on traffic map;
Module is obtained, for obtaining the time qualifications of user's input;
Information extraction modules, for obtaining the discrete bayonet location tags being on the target wheelpath, and according to The driving recording collection being consistent with the discrete bayonet location tags is obtained from bayonet database according to the time qualifications, In, the driving recording includes license board information, running time information and the bayonet location information of vehicle;
Trajectory analysis module, the driving recording for concentrating according to license board information to the driving recording are grouped, and Driving recording in each grouping is ranked up according to time sequencing, later according to sorted bayonet location information obtain with The corresponding suspicion wheelpath of license board information;
Matched jamming module, for matching the suspicion wheelpath with target wheelpath, when the weight of the two When conjunction rate is greater than predetermined threshold value, license board information corresponding with the suspicion wheelpath is supplied to display module;
Display module, for showing the license board information.
A kind of suspected vehicles tracking system realized based on wheelpath matching comprising:
Electronic equipment as described above;
And the database server of data interaction is carried out with the electronic equipment, the database server is for tieing up Protect bayonet database;
Wherein, the electronic equipment includes the suspected vehicles tracking device realized based on wheelpath matching, described device Include:
Detection module, for detecting the input of the target wheelpath on traffic map;
Module is obtained, for obtaining the time qualifications of user's input;
Information extraction modules, for obtaining the discrete bayonet location tags being on the target wheelpath, and according to The driving recording collection being consistent with the discrete bayonet location tags is obtained from bayonet database according to the time qualifications, In, the driving recording includes license board information, running time information and the bayonet location information of vehicle;
Trajectory analysis module, the driving recording for concentrating according to license board information to the driving recording are grouped, and Driving recording in each grouping is ranked up according to time sequencing, later according to sorted bayonet location information obtain with The corresponding suspicion wheelpath of license board information;
Matched jamming module, for matching the suspicion wheelpath with target wheelpath, when the weight of the two When conjunction rate is greater than predetermined threshold value, license board information corresponding with the suspicion wheelpath is supplied to display module;
Display module, for showing the license board information.
The present invention passes through the target wheelpath input detected on traffic map first, later according to the time limit of input Fixed condition from obtained in bayonet database with the driving recording that matches of discrete bayonet location tags in the target wheelpath, A plurality of suspicion wheelpath is formed according to the driving recording again later, and finally the suspicion wheelpath and target are driven a vehicle Track is matched, when the coincidence factor for meeting the two is greater than the condition of predetermined threshold value, i.e. output and the suspicion wheelpath Corresponding license board information.Magnanimity wheelpath between starting point bayonet and terminal bayonet is in without exhaustion using the present invention, The complexity of operation is significantly reduced, there is better availability.
Detailed description of the invention
Fig. 1 is the schematic diagram for obtaining driving path according to Origin And Destination in the prior art;
Fig. 2 is the suspected vehicles tracking process signal provided in an embodiment of the present invention realized based on wheelpath matching Figure;
Fig. 3 is the suspected vehicles tracking device structural representation provided in an embodiment of the present invention realized based on wheelpath matching Figure.
The realization, functional characteristics and excellent effect of the object of the invention, below in conjunction with specific embodiment and attached drawing do into The explanation of one step.
Specific embodiment
Technical solution of the present invention is described in further detail in the following with reference to the drawings and specific embodiments, so that this The technical staff in field can better understand the present invention and can be practiced, but illustrated embodiment is not as to limit of the invention It is fixed.
As shown in Fig. 2, a kind of suspected vehicles track side realized based on wheelpath matching provided in an embodiment of the present invention Method comprising following steps:
The target wheelpath input of S10, detection on traffic map, and obtain the time restriction item of user's input Part;
S20, acquisition are in the discrete bayonet location tags on the target wheelpath, and limit according to the time Condition obtains the driving recording collection being consistent with the discrete bayonet location tags from bayonet database, wherein the driving note Record includes license board information, running time information and the bayonet location information of vehicle;
S30, the driving recording concentrated according to license board information to the driving recording are grouped, and in each grouping Driving recording is ranked up according to time sequencing, is obtained later according to sorted bayonet location information corresponding with license board information Suspicion wheelpath;
S40, the suspicion wheelpath is matched with target wheelpath, when the coincidence factor of the two is greater than pre- gating When limit value, license board information corresponding with the suspicion wheelpath is exported.
For the step S10, the traffic map be Baidu map, GOOGLE map etc. have navigation directions, Geographical location identification, road traffic recognition property application program.
There are many multiplicity for mode based on traffic map input target wheelpath, such as the equipment with touch-sensitive screen For, under the suggesting effect of the traffic map, corresponding target wheelpath is cooked up using finger or stylus.
Specifically, in a kind of specific embodiment, the target wheelpath input detected on traffic map includes:
S101, it detects and the contact for the touch-sensitive screen for showing traffic map;
S102, according to the contact trace of the contact, obtain the input of target wheelpath.
In another specific embodiment, the target wheelpath input detected on traffic map includes:
The selection icon object sliding of S103, detection on traffic map, wherein the selection icon object is based on mouse The dragging of pointer and slide or the selection icon object be based on user gesture and slide;
S104, the input of target wheelpath is obtained according to the sliding.
It is described to select icon object for graphic interaction user interface object.
Or in certain other embodiments, target wheelpath of the detection on traffic map, which inputs, includes:
The movement of the activation mouse pointer of S105, detection on traffic map;
S106, it is inputted according to the mobile target wheelpath that obtains.
For example, the mouse pointer is in user's long-pressing or when clicking left mouse button/right button, its status is active mouse pointer State.
For the step S20, in the present embodiment, when the driving recording is in addition to including license board information, the driving of vehicle Between except information and bayonet location information, can also include driving image, running speed, driving direction, illegal attribute, vehicle Board classification, vehicle size, vehicular applications, vehicle color, vehicle model, driver identity, driver's driving age, is driven at license plate color The person's of sailing gender, driver's contact method, driver's driving license classification, driver's driver's license licence issuing authority, vehicle licence issuing authority drive Member's driver's license data of issue, vehicle data of issue, vehicle annual test record, vehicle registration classification, vehicle seat digit.
The memory carrier of the driving recording of these magnanimity is database, such as may include single machine database, distributed number It can also include a series of other data storage carriers for being dispersed in Net-connected computers, i.e. cloud according to types such as library, document data banks Storage.
Bayonet location information is a series of geographical location information by encoding in advance, in the corresponding bayonet place of highway, There is the special equipment of running information abstraction function, such as video camera, sensor coil, radar by installing.When vehicle passes through this When ground, license board information (wherein, the license board information is license plate number information), the running time, row of the vehicle are collected and recorded The information such as the bayonet position that vehicle passes through.
The track sets that the wheelpath is made of at least two bayonet location informations, for example, bayonet position can be with It is indicated in the form of bayonet location tags, the bayonet location tags at least have recorded the detailed of corresponding bayonet position Thin geographical location information.
In step S20, database application pre-selects out running time positioned at finger from magnanimity driving recording The set of section of fixing time and all driving recordings driven a vehicle by place in target wheelpath condition, with primary filtration The data being consistent with discrete bayonet location tags and time qualifications, filter out a large amount of extraneous data, improve subsequent meter The efficiency of calculation.
Through this process, can make that more unrelated driving recording will not be mixed into subsequent calculating process, thus The complexity calculated is reduced, computational efficiency is improved.
In step 1 of the present invention, if there is more drivings by place in the wheelpath condition of input, operation is complicated Degree magnitude is constant.
In program realization, the implementation of the step will be different on different memory carriers, such as to relationship SQL(Structured Query Language, structured query language can be used for type database) sentence, grammer is Select ... from ... where ..., conditional statement write on the part where.Judge that running time is located at designated time period, needs handle The running time field of driving recording is done numerical value with the period in input condition and is compared.Judgement driving is by place (i.e. bayonet Location information) in specified target wheelpath, it needs the bayonet location information field in driving recording in input condition Target wheelpath in discrete bayonet location tags do the ownership operation of element-set.For example, the row in note driving recording Vehicle time field is pass_time, and bayonet location information field is site, and the time qualifications in input condition are time1- The discrete bayonet location tags of > time2, the target wheelpath in input condition are followed successively by (place 1, place 2, place 3), then The where filter condition of SQL statement statement is exactly:
where pass_time between time1and time2
And site in (place 1, place 2, place 3 ..)
For the step S30, the driving recording collection that database application obtains step S20 is further according to license plate Information (wherein, the license board information is license plate number information) grouping, then to the driving recording in each grouping according to the time From morning to night ascending order arranges, then will be grouped bayonet position (i.e. driving is by place) series connection of interior all driving recordings, obtains each It is a that uniquely location sequence, i.e. suspicion driving rail are passed through in driving of the corresponding vehicle under the time qualifications with license board information Mark.
In the operation being grouped to driving recording collection according to license board information, it is assumed that the entitled plate of license plate number field, then right The SQL statement segment answered are as follows:
group by rollup(plate)having grouping(plate)=0;
When specific procedure is realized, such as driving recording in being grouped is connected according to the arrangement of time ascending order, by bayonet position, It, can be with to obtaining operation of driving of each license plate under this time qualifications Jing Guo location sequence (suspicion wheelpath) It is realized using an object type and an aggregate function.The input data of the object type is driving recording in being grouped The character string that " running time-bayonet position " information is composed, accumulation process output data are that driving recording passes through in being grouped Location sequence (suspicion wheelpath) is passed through in driving after the arrangement of time ascending order.With being accomplished by for Oracle language
Memory table type SiteTable is defined, indicates that location sequence is passed through in driving.
create or replace type SiteTable as table of varchar(20);
Memory table type TimeTable is defined, indicates time series.
create or replace type TimeTable as table of date;
It is defined as object type TimeSiteConType needed for realizing aggregate function, sentence:
create or replace type TimeSiteConType as object(
DateTable TimeTable, -- temporary storage time sequence
RetSiteTable SiteTable, -- location sequence is passed through in the driving to be returned
static function odciaggregateinitialize(sctx in out TimeSiteConType) return number,
member function odciaggregateiterate(self in out TimeSiteConType, value in varchar2)return number,
member function odciaggregateterminate(self in TimeSiteConType, returnvalue out SiteTable,flags in number)return number,
member function odciaggregatemerge(self in out TimeSiteConType,ctx2in TimeSiteConType)return number
)
In TimeSiteConType type declarations, member variable dateTable is used for temporary storage time sequence, Cheng Yuanbian Amount retSiteTable is used to save the driving returned by location sequence.
Member function odciaggregateiterate and odciaggregateterminate need to realize, wherein letter Number odciaggregateiterate is used for each input data of circular treatment, realizes that driving recording is according to the time in acquisition grouping Location sequence is passed through in driving after ascending order arrangement, and concrete methods of realizing is as follows:
Step 1 isolates the driving of this driving recording from character string type " running time-bayonet position " data of input Time and bayonet location information.This process only needs character string type " running time-bayonet position " data to input by special Determine Character segmentation once to obtain.
Step 2, the running time that calculating step 1 obtains are correctly ordered position in temporary storage time sequence dateTable It sets, need to guarantee after being inserted into this running time, still temporally ascending order arranges dateTable.
Step 3, the running time that step 1 is obtained are inserted into temporary storage time sequence dateTable, this insertion position It sets from the resulting sorting position of step 2.
Step 4, the bayonet location information that step 1 is obtained are inserted into the driving to be returned by location sequence In retSiteTable, sorting position that insertion position is obtained from second step.
In addition, function odciaggregateterminate is for returning to output as a result, i.e. retSiteTable variable.
It states aggregate function, is grouped driving of the interior driving recording after the arrangement of time ascending order by place sequence for calculating Column, sentence are as follows:
create or replare function GetSiteSequence(
timeSite in varchar2)
return SiteTable
aggregate
using TimeSiteConType;
Wherein, the function of the GetSiteSequence function is: defining a kind of for varchar2 type input data Aggregation algorithms, specific algorithm are defined in the member function of object type TimeSiteConType, are already described above.
For the step S40, database application carries out the suspicion wheelpath and target wheelpath Match, when the coincidence factor of the two is greater than predetermined threshold value, exports license board information corresponding with the suspicion wheelpath.At this In embodiment, the threshold value can be set to 100%, since the suspicion wheelpath is by multiple bayonet location information shapes At driving connected and formed by multiple discrete bayonet location tags by location sequence and the target wheelpath, at this In deterministic process, if multiple discrete bayonets of multiple bayonet positions of the suspicion wheelpath and the target wheelpath If location tags can match one by one, then license board information corresponding with the suspicion wheelpath is exported.
This realization process is told about with Oracle below.Judge whether the suspicion wheelpath matches with target wheelpath Function name be set as IsSiteSequenceMatch, prototype are as follows:
create or replace IsSiteSequenceMatch(
siteCollection in SiteTable,
matchSites in SiteTable)
returns number
Wherein, first parameter siteCollection1 indicates suspicion wheelpath, second parameter matchSites table Show that target wheelpath, return value are number, 1 expression sequence meets, and 0 expression sequence is not met.
Deterministic process can be expressed as follows:
group by rollup(plate)
having grouping(plate)=0and
IsSiteSequenceMatch(GetSiteSequence(to_char(pass_time,'yyyy-MM-dd hh24:mi:ss')||’,’||site),matchSites)=1
Together with above-mentioned steps S20, step S30 and step S40, entire treatment process briefly expresses as follows:
Select plate from [table name]
where pass_time between time1and time2
And site in (place 1, place 2, place 3 ..)
group by rollup(plate)
having grouping(plate)=0and
IsSiteSequenceMatch(GetSiteSequence(to_char(pass_time,'yyyy-MM-dd hh24:mi:ss')||’,’||site),matchSites)=1
Database application judges that the step of whether suspicion wheelpath meets with target wheelpath includes:
First determine whether element (i.e. bayonet position) number in suspicion wheelpath in target wheelpath element (from Dissipate bayonet location tags) whether number equal, if unequal, judgement conclusion is not meet;Otherwise, further judge suspicion Whether all elements in wheelpath are equal in the element value of same position with target wheelpath, if equal, sentence Disconnected conclusion is to meet;Otherwise, judgement conclusion is not meet.
The deterministic process IsSiteSequenceMatch execution logic realized with the method is as follows,
Later, database application exports all license board informations met, such as will include the corresponding of license board information Driving recording is presented to the user after arranging according to license plate number ascending order or descending, running time ascending order.
As shown in figure 3, the embodiment of the present invention has also correspondingly provided a kind of suspicion vehicle realized based on wheelpath matching Tracking device comprising:
Detection module 10, for detecting the input of the target wheelpath on traffic map;
Module 20 is obtained, for obtaining the time qualifications of user's input;
Information extraction modules 30, for obtaining the discrete bayonet location tags being on the target wheelpath, and The driving recording being consistent with the discrete bayonet location tags is obtained from bayonet database 40 according to the time qualifications Collection, wherein the driving recording includes license board information, running time information and the bayonet location information of vehicle;
Trajectory analysis module 50, the driving recording for concentrating according to license board information to the driving recording are grouped, And the driving recording in each grouping is ranked up according to time sequencing, it is obtained later according to sorted bayonet location information Suspicion wheelpath corresponding with license board information;
Matched jamming module 60, for matching the suspicion wheelpath with target wheelpath, when the two When coincidence factor is greater than predetermined threshold value, license board information corresponding with the suspicion wheelpath is supplied to display module 70;
Display module 70, for showing the license board information.
Wherein, the driving recording except the license board information comprising vehicle, running time information and bayonet location information it It outside, further include driving image, running speed, driving direction, illegal attribute, license plate classification, license plate color, vehicle size, vehicle Purposes, vehicle color, vehicle model, driver identity, driver's driving age, driver's gender, driver's contact method, driver Driving license classification, driver's driver's license licence issuing authority, vehicle licence issuing authority, driver's driver's license data of issue, vehicle data of issue, Vehicle annual test record, vehicle registration classification, vehicle seat digit.
Under a kind of embodiment, the display module 70 is touch-sensitive screen, and the detection module 10 includes:
First detection sub-unit, for detecting and the contact for the touch-sensitive screen for showing traffic map;
First track obtains subelement, for the contact trace according to the contact, obtains the input of target wheelpath.
Under another embodiment, the detection module 10 includes:
Second detection sub-unit, for detecting the sliding of the selection icon object on traffic map, wherein the selection figure It marks dragging of the object based on mouse pointer and slides;
Second track obtains subelement, for obtaining the input of target wheelpath according to the sliding.
Or in certain other embodiments, the detection module 10 includes:
Third detection sub-unit, for detecting the movement of the activation mouse pointer on traffic map;
Third track obtains subelement, for inputting according to the mobile target wheelpath that obtains.
In addition to this, the embodiment of the invention also provides a kind of electronic equipment, such as the electronic equipment is with touch-sensitive The portable terminal of screen comprising the suspected vehicles tracking device realized as described above based on wheelpath matching, with reference to Fig. 3 institute Show, described device includes:
Detection module 10, for detecting the input of the target wheelpath on traffic map;
Module 20 is obtained, for obtaining the time qualifications of user's input;
Information extraction modules 30, for obtaining the discrete bayonet location tags being on the target wheelpath, and The driving recording being consistent with the discrete bayonet location tags is obtained from bayonet database 40 according to the time qualifications Collection, wherein the driving recording includes license board information, running time information and the bayonet location information of vehicle;
Trajectory analysis module 50, the driving recording for concentrating according to license board information to the driving recording are grouped, And the driving recording in each grouping is ranked up according to time sequencing, it is obtained later according to sorted bayonet location information Suspicion wheelpath corresponding with license board information;
Matched jamming module 60, for matching the suspicion wheelpath with target wheelpath, when the two When coincidence factor is greater than predetermined threshold value, license board information corresponding with the suspicion wheelpath is supplied to display module 70;
Display module 70, for showing the license board information.
Institute above can refer to for the specific descriptions of the suspected vehicles tracking device realized based on wheelpath matching It states, does not do repetition description here.
In addition to this, the embodiment of the invention also provides a kind of suspected vehicles realized based on wheelpath matching to track system System comprising:
Electronic equipment as described above;
And the database server of data interaction is carried out with the electronic equipment, the database server is for tieing up Protect bayonet database 40;
In certain concrete applications, the database server is at least two, is in distributed deployment, passes through application Software assembly gets up to cooperate, common externally to provide the storage of bayonet data and business access function.
Wherein, the electronic equipment includes the suspected vehicles tracking device realized based on wheelpath matching, with continued reference to Shown in Fig. 3, described device includes:
Detection module 10, for detecting the input of the target wheelpath on traffic map;
Module 20 is obtained, for obtaining the time qualifications of user's input;
Information extraction modules 30, for obtaining the discrete bayonet location tags being on the target wheelpath, and The driving recording being consistent with the discrete bayonet location tags is obtained from bayonet database 40 according to the time qualifications Collection, wherein the driving recording includes license board information, running time information and the bayonet location information of vehicle;
Trajectory analysis module 50, the driving recording for concentrating according to license board information to the driving recording are grouped, And the driving recording in each grouping is ranked up according to time sequencing, it is obtained later according to sorted bayonet location information Suspicion wheelpath corresponding with license board information;
Matched jamming module 60, for matching the suspicion wheelpath with target wheelpath, when the two When coincidence factor is greater than predetermined threshold value, license board information corresponding with the suspicion wheelpath is supplied to display module 70;
Display module 70, for showing the license board information.
It can refer to similarly, for the specific descriptions of the suspected vehicles tracking device realized based on wheelpath matching It is described above, do not do repetition description here.
The above description is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all utilizations Equivalent structure or equivalent flow shift made by description of the invention and accompanying drawing content is applied directly or indirectly in other correlations Technical field, be included within the scope of the present invention.

Claims (12)

1. a kind of suspected vehicles tracking realized based on wheelpath matching characterized by comprising
The target wheelpath input on traffic map is detected, and obtains the time qualifications of user's input;
It obtains and is in discrete bayonet location tags on the target wheelpath, and according to the time qualifications from card The driving recording collection being consistent with the discrete bayonet location tags is obtained in mouth database, wherein the driving recording includes vehicle License board information, running time information and bayonet location information;
The driving recording concentrated according to license board information to the driving recording is grouped, and to the driving recording in each grouping It is ranked up according to time sequencing, obtains suspicion driving corresponding with license board information according to sorted bayonet location information later Track;
The suspicion wheelpath is matched with target wheelpath, when the coincidence factor of the two is greater than predetermined threshold value, Export license board information corresponding with the suspicion wheelpath.
2. the suspected vehicles tracking realized as described in claim 1 based on wheelpath matching, which is characterized in that described Driving recording further include driving image, running speed, driving direction, illegal attribute, license plate classification, license plate color, vehicle size, Vehicular applications, vehicle model, driver identity, driver's driving age, driver's gender, driver's contact method, are driven at vehicle color The person's of sailing driving license classification, driver's driver's license licence issuing authority, vehicle licence issuing authority, driver's driver's license data of issue, vehicle are issued licence Date, vehicle annual test record, vehicle registration classification, vehicle seat digit.
3. the suspected vehicles tracking realized as described in claim 1 based on wheelpath matching, which is characterized in that detection Target wheelpath on traffic map, which inputs, includes:
It detects and the contact for the touch-sensitive screen for showing traffic map;
According to the contact trace of the contact, the input of target wheelpath is obtained.
4. the suspected vehicles tracking realized as described in claim 1 based on wheelpath matching, which is characterized in that detection Target wheelpath on traffic map, which inputs, includes:
The sliding of selection icon object of the detection on traffic map;
The input of target wheelpath is obtained according to the sliding.
5. the suspected vehicles tracking realized as described in claim 1 based on wheelpath matching, which is characterized in that detection Target wheelpath on traffic map, which inputs, includes:
The movement of activation mouse pointer of the detection on traffic map;
It is inputted according to the mobile target wheelpath that obtains.
6. a kind of suspected vehicles tracking device realized based on wheelpath matching characterized by comprising
Detection module, for detecting the input of the target wheelpath on traffic map;
Module is obtained, for obtaining the time qualifications of user's input;
Information extraction modules, for obtaining the discrete bayonet location tags being on the target wheelpath, and according to institute It states time qualifications and obtains the driving recording collection being consistent with the discrete bayonet location tags from bayonet database, wherein The driving recording includes license board information, running time information and the bayonet location information of vehicle;
Trajectory analysis module, the driving recording for concentrating according to license board information to the driving recording are grouped, and to every Driving recording in a grouping is ranked up according to time sequencing, later according to the acquisition of sorted bayonet location information and license plate The corresponding suspicion wheelpath of information;
Matched jamming module, for matching the suspicion wheelpath with target wheelpath, when the coincidence factor of the two When greater than predetermined threshold value, license board information corresponding with the suspicion wheelpath is supplied to display module;
Display module, for showing the license board information.
7. the suspected vehicles tracking device realized as claimed in claim 6 based on wheelpath matching, which is characterized in that described Driving recording further include driving image, running speed, driving direction, illegal attribute, license plate classification, license plate color, vehicle size, Vehicular applications, vehicle model, driver identity, driver's driving age, driver's gender, driver's contact method, are driven at vehicle color The person's of sailing driving license classification, driver's driver's license licence issuing authority, vehicle licence issuing authority, driver's driver's license data of issue, vehicle are issued licence Date, vehicle annual test record, vehicle registration classification, vehicle seat digit.
8. the suspected vehicles tracking device realized as claimed in claim 6 based on wheelpath matching, which is characterized in that described Display module is touch-sensitive screen, and the detection module includes:
First detection sub-unit, for detecting and the contact for the touch-sensitive screen for showing traffic map;
First track obtains subelement, for the contact trace according to the contact, obtains the input of target wheelpath.
9. the suspected vehicles tracking device realized as claimed in claim 6 based on wheelpath matching, which is characterized in that described Detection module includes:
Second detection sub-unit, for detecting the sliding of the selection icon object on traffic map;
Second track obtains subelement, for obtaining the input of target wheelpath according to the sliding.
10. the suspected vehicles tracking device realized as claimed in claim 6 based on wheelpath matching, which is characterized in that institute Stating detection module includes:
Third detection sub-unit, for detecting the movement of the activation mouse pointer on traffic map;
Third track obtains subelement, for inputting according to the mobile target wheelpath that obtains.
11. a kind of electronic equipment, which is characterized in that described in any item based on wheelpath matching including such as claim 6-10 The suspected vehicles tracking device of realization.
12. a kind of suspected vehicles tracking system realized based on wheelpath matching characterized by comprising
Electronic equipment as claimed in claim 11;
And the database server of data interaction is carried out with the electronic equipment, the database server is used for maintaining card Mouth database.
CN201310683874.7A 2013-12-12 2013-12-12 The suspected vehicles tracking and device realized based on wheelpath matching Active CN104715612B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310683874.7A CN104715612B (en) 2013-12-12 2013-12-12 The suspected vehicles tracking and device realized based on wheelpath matching

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310683874.7A CN104715612B (en) 2013-12-12 2013-12-12 The suspected vehicles tracking and device realized based on wheelpath matching

Publications (2)

Publication Number Publication Date
CN104715612A CN104715612A (en) 2015-06-17
CN104715612B true CN104715612B (en) 2019-02-12

Family

ID=53414898

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310683874.7A Active CN104715612B (en) 2013-12-12 2013-12-12 The suspected vehicles tracking and device realized based on wheelpath matching

Country Status (1)

Country Link
CN (1) CN104715612B (en)

Families Citing this family (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105206062A (en) * 2015-10-23 2015-12-30 浪潮(北京)电子信息产业有限公司 Searching method and device
CN105389974A (en) * 2015-11-19 2016-03-09 深圳市赛格导航科技股份有限公司 Vehicle tracking method and system based on vehicle historical driving data
CN106846538B (en) * 2015-12-04 2019-12-03 杭州海康威视数字技术股份有限公司 Cross vehicle record treating method and apparatus
CN105448092B (en) * 2015-12-23 2018-03-23 浙江宇视科技有限公司 The analysis method and device of a kind of associated vehicle
CN107016584B (en) * 2016-01-27 2021-01-05 北京嘀嘀无限科技发展有限公司 Order screening method and device
CN105788271B (en) * 2016-05-17 2019-03-12 厦门市美亚柏科信息股份有限公司 The method and apparatus for identifying target moving object by path matching
CN106097708B (en) * 2016-06-06 2019-06-11 浙江宇视科技有限公司 A kind of follow the bus determines method and device
CN105931467B (en) * 2016-06-06 2019-06-21 广东中星电子有限公司 A kind of method and device tracking target
CN106251633A (en) * 2016-08-09 2016-12-21 成都联众智科技有限公司 License auto-recognition system and the system of tracking
CN108255947A (en) * 2017-12-13 2018-07-06 太极计算机股份有限公司 Portray method, apparatus, mobile terminal and the storage medium of personnel motion trail
CN110019402B (en) * 2017-12-26 2021-09-28 浙江宇视科技有限公司 Data analysis method and device and readable storage medium
CN108171976B (en) * 2017-12-29 2020-07-07 合肥工业大学 Vehicle use identification method based on in-transit data
CN109495849A (en) * 2018-12-19 2019-03-19 东软睿驰汽车技术(沈阳)有限公司 A kind of method and device of recognition and tracking vehicle
CN111354194A (en) * 2018-12-20 2020-06-30 中国移动通信集团山东有限公司 Highway vehicle identification method and device
CN111667697B (en) * 2019-03-06 2022-11-08 北京京东尚科信息技术有限公司 Abnormal vehicle identification method and device, and computer readable storage medium
CN110264730A (en) * 2019-06-05 2019-09-20 上海易点时空网络有限公司 The method and system of tracking escape vehicle based on driving recording
CN111368616B (en) * 2019-07-24 2023-05-02 杭州海康威视系统技术有限公司 Slave vehicle identification method, device and equipment
CN110517495A (en) * 2019-09-05 2019-11-29 四川东方网力科技有限公司 Confirmation method, device, equipment and the storage medium of track of vehicle classification
CN110838232A (en) * 2019-09-27 2020-02-25 浙江工业大学 Single vehicle OD (origin-destination) acquisition method based on vehicle-passing electric alarm data
CN111652912B (en) * 2020-06-10 2021-02-26 北京嘀嘀无限科技发展有限公司 Vehicle counting method and system, data processing equipment and intelligent shooting equipment
CN111950471B (en) * 2020-08-14 2024-02-13 杭州海康威视系统技术有限公司 Target object identification method and device
CN113343880A (en) * 2021-06-21 2021-09-03 广州大学 Method, device, equipment and medium for identifying vehicle shielding number plate

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101210959A (en) * 2006-12-25 2008-07-02 中国移动通信集团公司 Moving terminal navigation method and system
CN101944292A (en) * 2010-09-16 2011-01-12 公安部交通管理科学研究所 Suspected vehicle analysis method based on track collision
CN202563577U (en) * 2012-05-04 2012-11-28 山东卡尔电气股份有限公司 Intelligent monitoring management system for vehicles
WO2013038266A1 (en) * 2011-09-15 2013-03-21 Michelin Travel Partner Navigation method and system with centralised server
KR20130053493A (en) * 2011-11-14 2013-05-24 나비스오토모티브시스템즈 주식회사 Navigation apparatus for guiding information for duplicated route in travel route, and method for the same
EP2610782A1 (en) * 2011-12-27 2013-07-03 Magneti Marelli S.p.A. Method for planning the route of a vehicle

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101210959A (en) * 2006-12-25 2008-07-02 中国移动通信集团公司 Moving terminal navigation method and system
CN101944292A (en) * 2010-09-16 2011-01-12 公安部交通管理科学研究所 Suspected vehicle analysis method based on track collision
WO2013038266A1 (en) * 2011-09-15 2013-03-21 Michelin Travel Partner Navigation method and system with centralised server
KR20130053493A (en) * 2011-11-14 2013-05-24 나비스오토모티브시스템즈 주식회사 Navigation apparatus for guiding information for duplicated route in travel route, and method for the same
EP2610782A1 (en) * 2011-12-27 2013-07-03 Magneti Marelli S.p.A. Method for planning the route of a vehicle
CN202563577U (en) * 2012-05-04 2012-11-28 山东卡尔电气股份有限公司 Intelligent monitoring management system for vehicles

Also Published As

Publication number Publication date
CN104715612A (en) 2015-06-17

Similar Documents

Publication Publication Date Title
CN104715612B (en) The suspected vehicles tracking and device realized based on wheelpath matching
Chen et al. A survey of traffic data visualization
Pan et al. Trace analysis and mining for smart cities: issues, methods, and applications
Yuan et al. Discovering urban functional zones using latent activity trajectories
CN105513368B (en) A kind of false-trademark car screening technique based on uncertain information
Peng et al. Learning multi-region features for vehicle re-identification with context-based ranking method
US9633436B2 (en) Systems and methods for multi-dimensional object detection
CN106373406A (en) Inspecting system against fake-licensed vehicles
CN108734129A (en) mobile phone and vehicle location analysis method and system
CN106251635A (en) The recognition methods of a kind of deck suspicion license plate number and system
CN104063712A (en) Vehicle information extraction method and system thereof
CN109948616A (en) Image detecting method, device, electronic equipment and computer readable storage medium
CN109376178A (en) Space-time big data trajectory analysis platform, method, server and storage medium
Soin et al. Moving vehicle detection using deep neural network
CN111274283A (en) Track display method and device
CN112132033A (en) Vehicle type recognition method and device, electronic equipment and storage medium
CN106777350A (en) It is a kind of based on bayonet socket data scheming to search drawing method and device
Tsai et al. Generalized traffic sign detection model for developing a sign inventory
Li et al. Urban infrastructure audit: an effective protocol to digitize signalized intersections by mining street view images
Xue et al. Identifying abnormal riding behavior in urban rail transit: a survey on “in-out” in the same subway station
Huang et al. Enabling versatile analysis of large scale traffic video data with deep learning and HiveQL
US20230196772A1 (en) Query-oriented event recognition system and method
Almuhisen et al. Detecting behavior types of moving object trajectories
CN106126513A (en) Super dimension space-time depicting method
Li et al. Trajectory pattern identification and anomaly detection of pedestrian flows based on visual clustering

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant