CN109495849A - A kind of method and device of recognition and tracking vehicle - Google Patents
A kind of method and device of recognition and tracking vehicle Download PDFInfo
- Publication number
- CN109495849A CN109495849A CN201811557777.2A CN201811557777A CN109495849A CN 109495849 A CN109495849 A CN 109495849A CN 201811557777 A CN201811557777 A CN 201811557777A CN 109495849 A CN109495849 A CN 109495849A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- target vehicle
- front vehicle
- path
- target
- 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.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
- G06V20/584—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of vehicle lights or traffic lights
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
Landscapes
- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Multimedia (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Traffic Control Systems (AREA)
Abstract
This application discloses a kind of method and devices of recognition and tracking vehicle, include: obtain target vehicle and front vehicle be overlapped path, wherein, in the driving direction of target vehicle, front vehicle is located at target vehicle rear, and, also obtain the driving path of target vehicle, the starting point of the driving path is consistent with the starting point in path is overlapped, if the length of the driving path of target vehicle reaches pre-set length threshold, then calculate the registration of target vehicle with the driving path for being overlapped path and target vehicle of front vehicle, and according to the calculated registration of institute, to determine whether front vehicle tracks target vehicle.It can be seen that; by the registration for calculating driving path between front vehicle and target vehicle; the vehicle of rear tracking traveling can be identified based on the registration; so as to timely be prompted accordingly the car owner for driving target vehicle, and then with the life privacy of effective protection target vehicle car owner and the personal safety of the car owner can be improved.
Description
Technical field
This application involves technical field of vehicle, more particularly to a kind of method and device of recognition and tracking vehicle.
Background technique
In daily Working Life, automobile is increasingly becoming the important walking-replacing tool of people.But automobile to people with
While carrying out great convenience, there has also been chances by some criminals, drive vehicle to same particular by vehicle is driven
Target person carry out malice tracking and to invade the life privacy of target person even threaten the person of target person
Safety.
Therefore, it is carried out on the run in car owner, how in time the vehicle of tracking is trailed at discovery rear, is protection vehicle
The important leverage of main life privacy and the personal safety for improving car owner.
Summary of the invention
The embodiment of the present application provides a kind of method and device of recognition and tracking vehicle, so that vehicle can be found in time
Rear trail tracking vehicle, in order to prompt car owner rear exist tracking vehicle, thus protect car owner life privacy and
Improve the personal safety of car owner.
In a first aspect, the embodiment of the present application provides a kind of method of recognition and tracking vehicle, which comprises
Acquisition target vehicle is overlapped path with front vehicle, wherein described in the driving direction of the target vehicle
Front vehicle is located at the target vehicle rear;
Obtain the driving path of the target vehicle, the starting point of the driving path and the starting point one for being overlapped path
It causes;
If the length of the driving path reaches pre-set length threshold, the coincidence path and the driving path are calculated
Registration;
According to the registration, determine whether the front vehicle tracks the target vehicle.
In some possible embodiments, the method also includes:
The characteristic information of the front vehicle is obtained, the characteristic information is for being identified the front vehicle.
In some possible embodiments, the method is applied to Cloud Server, the acquisition front vehicle
Characteristic information, comprising:
Image or video data that the target vehicle is sent are received, described image or video data are by being configured at the mesh
Filming apparatus on mark vehicle shoots to obtain;
The characteristic information of the front vehicle is parsed from described image or video data.
In some possible embodiments, the method also includes:
Based on the characteristic information of the front vehicle, the danger classes of the front vehicle is determined;
It is described according to the registration, determine whether the front vehicle tracks the target vehicle, comprising:
According to the registration and the danger classes of the front vehicle, it is described to determine whether the front vehicle tracks
Target vehicle.
In some possible embodiments, the characteristic information based on the front vehicle determines the rear vehicle
Danger classes, comprising:
By the characteristic information of the hazardous vehicles stored in the characteristic information of the front vehicle and hazardous vehicles register base into
Row matching, obtains matching result;
According to the matching result, the danger classes of the front vehicle is determined.
In some possible embodiments, the characteristic information of the front vehicle include the front vehicle color,
Shape, type, brand, in license plate number any one or it is a variety of.
In some possible embodiments, the method also includes:
Obtain the follow-up time of the front vehicle;
It is described according to the registration, determine whether the front vehicle tracks the target vehicle, comprising:
According to the registration and the follow-up time, determine whether the front vehicle tracks the target vehicle.
In some possible embodiments, the method also includes:
Obtain the optional path of the target vehicle on the driving path when driving;
It is described according to the registration, determine whether the front vehicle tracks the target vehicle, comprising:
According to the registration and the optional path, determine whether the front vehicle tracks the target vehicle.
In some possible embodiments, the method also includes:
If it is determined that the front vehicle tracks the target vehicle, then the driver of the target vehicle is accordingly mentioned
Show.
Second aspect, the embodiment of the present application also provides a kind of device of recognition and tracking vehicle, described device includes:
First obtains module, is overlapped path for obtain target vehicle and front vehicle, wherein in the target vehicle
Driving direction on, the front vehicle is located at the target vehicle rear;
Second obtains module, for obtaining the driving path of the target vehicle, the starting point of the driving path with it is described
The starting point for being overlapped path is consistent;
Computing module, if the length for the driving path reaches pre-set length threshold, calculate the coincidences path and
The registration of the driving path;
First determining module, for determining whether the front vehicle tracks the target vehicle according to the registration.
In some possible embodiments, described device further include:
Third obtains module, and for obtaining the characteristic information of the front vehicle, the characteristic information is used for after described
Square vehicle is identified.
In some possible embodiments, described device is applied to Cloud Server, and the third obtains module, comprising:
Receiving unit, the image or video data sent for receiving the target vehicle, described image or video data
It shoots to obtain by the filming apparatus being configured on the target vehicle;
Resolution unit, for parsing the characteristic information of the front vehicle from described image or video data.
In some possible embodiments, described device further include:
Second determining module determines the danger etc. of the front vehicle for the characteristic information based on the front vehicle
Grade;
First determining module, specifically for the danger classes according to the registration and the front vehicle, really
Whether the fixed front vehicle tracks the target vehicle.
In some possible embodiments, second determining module, comprising:
Matching unit, the hazardous vehicles for will be stored in the characteristic information of the front vehicle and hazardous vehicles register base
Characteristic information matched, obtain matching result;
Determination unit, for determining the danger classes of the front vehicle according to the matching result.
In some possible embodiments, the characteristic information of the front vehicle include the front vehicle color,
Shape, type, brand, in license plate number any one or it is a variety of.
In some possible embodiments, described device further include:
4th obtains module, for obtaining the follow-up time of the front vehicle;
First determining module is specifically used for determining the rear according to the registration and the follow-up time
Whether vehicle tracks the target vehicle.
In some possible embodiments, described device further include:
5th obtains module, for obtaining target vehicle number of optional path when driving on the driving path
Amount;
First determining module determines institute specifically for the quantity according to the registration and the optional path
State whether front vehicle tracks the target vehicle.
In some possible embodiments, described device further include:
Cue module is used for if it is determined that the front vehicle tracking target vehicle, then drive the target vehicle
The person of sailing accordingly is prompted.
In the above-mentioned implementation of the embodiment of the present application, journey is overlapped according to the path between front vehicle and target vehicle
Degree, to determine whether front vehicle tracks target vehicle, in order to determine front vehicle track target vehicle in the case where, energy
The car owner of enough target vehicles of prompt in time, to protect the life privacy of target vehicle car owner and improve the person peace of the car owner
Entirely.Specifically, available target vehicle and front vehicle are overlapped path, wherein in the driving direction of target vehicle, after
Square vehicle is located at target vehicle rear, also, also obtains the driving path of target vehicle, the starting point of the driving path be overlapped road
The starting point of diameter is consistent, if the length of the driving path of target vehicle reaches pre-set length threshold, can calculate target vehicle with
The registration of the driving path for being overlapped path and target vehicle of front vehicle, and according to the calculated registration of institute, to determine
Whether front vehicle tracks target vehicle.If being travelled since front vehicle tracks always target vehicle, then front vehicle
Path registration between target vehicle would generally be higher, therefore, by calculating front vehicle and target in the present embodiment
The registration of driving path between vehicle can determine whether front vehicle is the vehicle for tracking target vehicle based on the registration
, and then when determining that front vehicle tracks target vehicle, timely the car owner for driving target vehicle can be carried out corresponding
Prompt, so that car owner can have found out to track the vehicle of traveling in time and take corresponding counter-measure, so as to effective
It protects the life privacy of target vehicle car owner and improves the personal safety of the car owner.
Detailed description of the invention
In order to more clearly explain the technical solutions in the embodiments of the present application, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations as described in this application
Example, for those of ordinary skill in the art, is also possible to obtain other drawings based on these drawings.
Fig. 1 is an exemplary application schematic diagram of a scenario in the embodiment of the present application;
Fig. 2 is a kind of flow diagram of the method for recognition and tracking vehicle in the embodiment of the present application;
Fig. 3 is a kind of structural schematic diagram of the device of recognition and tracking vehicle in the embodiment of the present application.
Specific embodiment
Currently, car owner on the run, has the risk tracked by criminal, possess person of outstanding talent in particular in some
The car owner of vehicle, would generally be higher by the risk that criminal keeps a close watch on and tracks, this can life privacy and the person to car owner
Safety has an impact.Therefore, it in order to protect the life privacy of car owner and improve the personal safety of car owner, needs to drive in car owner
During vehicle, the vehicle of rear tracking can be found in time.
To solve the above-mentioned problems, the embodiment of the present application provides a kind of method of recognition and tracking vehicle, according to rear vehicle
Path between target vehicle is overlapped degree, to determine whether front vehicle tracks target vehicle, in order to after determination
In the case where square vehicle tracking target vehicle, the car owner of target vehicle can be prompted in time, to protect target vehicle car owner's
Life privacy and the personal safety for improving the car owner.Specifically, available target vehicle and front vehicle are overlapped path,
Wherein, in the driving direction of target vehicle, front vehicle is located at target vehicle rear, also, also obtains the row of target vehicle
Path is sailed, the starting point of the driving path is consistent with the starting point in path is overlapped, if the length of the driving path of target vehicle reaches pre-
If length threshold, then the coincidence of target vehicle with the driving path for being overlapped path and target vehicle of front vehicle can be calculated
Degree, and according to the calculated registration of institute, to determine whether front vehicle tracks target vehicle.If always due to front vehicle
Tracking target vehicle is travelled, then the path registration between front vehicle and target vehicle would generally be higher, therefore, this reality
It applies by calculating the registration of driving path between front vehicle and target vehicle in example, can be determined based on the registration
Front vehicle whether be track target vehicle vehicle, and then determine front vehicle track target vehicle when, can be timely
The car owner for driving target vehicle is prompted accordingly, so that car owner can have found out to track the vehicle of traveling in time and adopt
Take corresponding counter-measure, so as to effective protection target vehicle car owner life privacy and improve the car owner the person peace
Entirely.
For example, the embodiment of the present application can be applied to exemplary application scene as shown in Figure 1.In the application scenarios
In, identify whether front vehicle is the vehicle for tracking target vehicle by Cloud Server.Specifically, when target vehicle 101 is found
When front vehicle 102, Cloud Server 103 can be triggered and utilize GPS (Global Positioning System, global positioning system
System) orient the position of target vehicle 101, wherein and in the driving direction of target vehicle 101, front vehicle 102 is located at target
The rear of vehicle;Cloud Server 103 can use the path that is overlapped that GPS gets target vehicle 101 with front vehicle 102, and
The driving path for obtaining the target vehicle, when Cloud Server 103 determines that the length of the driving path of target vehicle 101 reaches default
When length threshold, the registration in the coincidence path and driving path is calculated, and according to the calculated registration of institute, determines rear
Whether vehicle 102 tracks target vehicle 101, and definitive result is sent to target vehicle 101.If target vehicle 101 is received
To determination the result shows that Cloud Server 103 determines that front vehicle 102 is tracking target vehicle 101 and travelling, then target vehicle
101 can issue corresponding prompt information, and prompting the car owner of target vehicle 101, there are front vehicles 102 currently just in tracking lines
It sails.
It is understood that above-mentioned scene is only a Sample Scenario provided by the embodiments of the present application, the embodiment of the present application
It is not limited to this scene.For example, being also possible to target vehicle oneself in some scenes of practical application and being identified, is i.e. the knowledge
Not Gen Zong the realization process of vehicle can be executed by target vehicle.
In order to make the above objects, features, and advantages of the present application more apparent, below in conjunction with attached drawing to this Shen
Please the various non-limiting implementations in embodiment illustrate.Obviously, described embodiment is the application one
Section Example, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art are not doing
All other embodiment obtained under the premise of creative work out, shall fall in the protection scope of this application.
Referring to Fig.2, Fig. 2 shows the flow diagram of the method for recognition and tracking vehicle a kind of in the embodiment of the present application, it should
Method can specifically include:
S201: acquisition target vehicle is overlapped path with front vehicle, wherein in the driving direction of target vehicle, after
Square vehicle is located at target vehicle rear.
It should be noted that may at least apply in the present embodiment in two kinds of application scenarios.Wherein, the first is exemplary
Application scenarios, can be as shown in Figure 1, be each step in the method for executed recognition and tracking vehicle by Cloud Server;Second
Exemplary application scene is that tracking vehicle is identified by target vehicle.In order to be more convenient for understanding the technology of the embodiment of the present application
Scheme, in the following, the technical solution of the embodiment of the present application is described in detail by taking the first exemplary application scene as an example.
The core idea of the present embodiment is, is determined using the registration of target vehicle and the driving path of front vehicle
Whether front vehicle is the vehicle for tracking target vehicle traveling, therefore, in order to calculate the registration, available target
The path that is overlapped of vehicle and front vehicle, i.e., front vehicle is run over target vehicle in the driving path of acquisition target vehicle
Path sections.
In practical application, due to not sending out molecule when tracking vehicle driving, the vehicle for being usually maintained tracked is located at not
In the range of visibility of method molecule, i.e., the vehicle of driving and tracked the distance between vehicle would generally be maintained at by criminal
In the range of visibility of criminal.Based on this, in a kind of illustrative embodiment, shooting can be installed on target vehicle
Device, the filming apparatus can shoot front vehicle, should if really there is front vehicle is tracking target vehicle
The front vehicle device that can usually be taken takes, then, can be taken by the filming apparatus in recognition and tracking vehicle
It is identified in front vehicle.
It is appreciated that since the vehicle for being located at target vehicle rear is usually more, it is obtained captured by filming apparatus
Front vehicle is usually more, is distinguished for the ease of Cloud Server to these front vehicles, can further be obtained each
The characteristic information of front vehicle, wherein this feature information can be used for being identified front vehicle.As an example, may be used
Using one such or much informations such as the color, shape, type, brand, the license plate numbers that obtain each front vehicle as should
The characteristic information of front vehicle.In a kind of illustrative embodiment, obtained in shooting comprising front vehicle in filming apparatus
Image or video after, the obtained image of shooting or video data can be sent to Cloud Server by target vehicle, be taken by cloud
Business device parses the characteristic information of front vehicle from the image or video data received, is parsed in order to utilize
Characteristic information is identified the front vehicle.
Also, Cloud Server is determining that there are rears at target vehicle rear from the image or video data received
When vehicle, available target vehicle is overlapped path with front vehicle.In a kind of illustrative specific implementation, cloud clothes
Business device can use the starting point that GPS positioning goes out between the target vehicle and front vehicle to be overlapped path, if Cloud Server continues
The front vehicle is identified from the image or video data that target vehicle is sent, then weight between target vehicle and front vehicle
The length of combining diameter is continuously increased.
S202: obtaining the driving path of target vehicle, and the starting point of the driving path is consistent with the starting point in path is overlapped.
In the present embodiment, in addition to need to obtain front vehicle and target vehicle be overlapped path other than, it is also necessary to obtain mesh
The driving path of vehicle is marked, in order to which the subsequent registration for carrying out driving path calculates.It should be noted that acquired target
The driving path of vehicle, not necessarily target vehicle from origin to destination where vehicle route, but in cloud service
Device parses the rear of target vehicle there are when front vehicle, where target vehicle at this time from image or video data
Position is starting point, the traveling road of target vehicle, that is, the starting point of the driving path of target vehicle and the starting point one for being overlapped path
It causes.
It is appreciated that when Cloud Server detects that there are front vehicles, and target vehicle to be followed to travel for the rear of target vehicle
When, only show that the front vehicle has the possibility of tracking target vehicle, at this point, just needing to pay close attention to whether the front vehicle is tracking
Vehicle, be based on this, be the position that will test where this moment target vehicle of front vehicle in the present embodiment, as target
The starting point of the driving path of vehicle, and on the driving path pay close attention to front vehicle follow the bus situation.If from discovery front vehicle
Start, front vehicle tracks always target vehicle traveling, then can determine that front vehicle is the vehicle for tracking target vehicle traveling.
S203: if the length of driving path reaches pre-set length threshold, the registration for being overlapped path and driving path is calculated.
S204: according to the registration, determine whether front vehicle tracks target vehicle.
In the present embodiment, needs the length of the driving path of target vehicle to reach pre-set length threshold, that is, need target carriage
In the position to find front vehicle as starting point, certain fare register is travelled, calculates the weight being overlapped between path and driving path
It is right with determine front vehicle whether be tracking vehicle.If the length of driving path reaches pre-set length threshold, it is overlapped path
It is higher with the registration of driving path, show that a possibility that front vehicle tracking target vehicle travels is larger, then after can determining
Square vehicle is tracking vehicle;If the length of driving path reaches pre-set length threshold, coincidence path is overlapped with driving path
It spends lower, then can determine that the front vehicle is not belonging to the vehicle that is travelled of tracking target vehicle.
It should be noted that after the acquisition the coincidence path of square vehicle-to-target vehicle when, can be according to target vehicle
Driving path determine be overlapped path.If specifically, Cloud Server continues the figure sent from target vehicle in certain time
As or Digital video resolution go out front vehicle, then can using the driving path of target vehicle in the period as front vehicle and
Coincidence path between target vehicle.If if being appreciated that, Cloud Server continues to send from target vehicle in certain time
Image or Digital video resolution go out front vehicle, show the front vehicle persistently follow during this period of time target vehicle into
Every trade is sailed, then the driving path of target vehicle is also the driving path of front vehicle, then can be by the target vehicle in this section
Driving path in period is overlapped path as between front vehicle and target vehicle.
Further, if front vehicle is during following target vehicle to travel, there are partial time periods not by target carriage
Filming apparatus taken by, in other words front vehicle disappear in the coverage of filming apparatus a period of time, in order to retouch
It states conveniently, referred to as first time period, then before Cloud Server may think that front vehicle does not follow in the first time period
Square vehicle, but in practical application, if the image that Cloud Server is shot from filming apparatus again after the first time period
Or the front vehicle is parsed in video, and target vehicle is in the driving path in first time period and there is no other
Optional road, then driving path of the front vehicle in first time period can be also overlapped with the driving path of target vehicle, this
When, for the driving path of target vehicle in first time period, can also be used as target vehicle and front vehicle is overlapped path.
In practical application, Cloud Server is if it is determined that front vehicle can then send out the definitive result in tracking target vehicle
Target vehicle is given, so that target vehicle carries out phase to the driver (car owner) of target vehicle based on the definitive result received
The prompt answered.For example, target vehicle can prompt driver: " rear license plate, which is that the black vehicle of XXXX is doubtful, to be tracked
This vehicle asks driver to pay attention to!"
It is noted that can be combined with other factors in addition to based on the registration for being overlapped path and driving path
Determine whether front vehicle tracks target vehicle.Such as when can be in conjunction with danger classes, the follow the bus of front vehicle of front vehicle
Between and target vehicle one or more in quantity of optional path etc. is judged when driving on driving path.Below
Each is directed to because usually explaining one by one.
The danger classes of front vehicle characterizes the degree of danger of front vehicle.Specifically, due in practical application,
Some vehicles may belong to illegal vehicle, such as, it may be possible to belong to the vehicle being tampered, fake-licensed car (refers to that criminal forges
Illegally extract the number plate of true board vehicle, the vehicle of model and color) etc., for this illegal vehicle, danger classes usually compared with
It is high.When this vehicle follows target vehicle to carry out when driving, the risk of vehicle tracking target vehicle traveling can also increase accordingly
Greatly.Therefore, in the front vehicle for detecting that target vehicle is followed to travel, the danger classes of the available front vehicle, and
In conjunction with the danger classes of the front vehicle and the registration in coincidence path and driving path, determine whether front vehicle is tracking
Vehicle.In a kind of illustrative embodiment, Cloud Server can determine rear vehicle based on the characteristic information of front vehicle
Danger classes, specifically can be the hazardous vehicles that will be stored in the characteristic information of front vehicle and hazardous vehicles register base
Characteristic information is matched, and matching result is obtained, and is based on the matching result, is determined the danger classes of front vehicle.For example, if
Successful match, it is determined that the danger classes of the front vehicle is height, if it fails to match, it is determined that the danger classes of front vehicle is
It is low, in further embodiment, finer division can be carried out to danger classes, be such as divided into it is low, lower, compared with
High, high four grades.Then, it can in conjunction with the danger classes for the front vehicle determined and coincidence path and traveling
The registration in path, to determine whether front vehicle tracks target vehicle.
Furthermore it is also possible to whether determine front vehicle in conjunction with the follow-up time of front vehicle and calculated registration
Track target vehicle.It is appreciated that if Cloud Server detect front vehicle last longer follow always target vehicle into
Every trade is sailed, then the front vehicle there are it is larger a possibility that track target vehicle.Therefore, in a kind of illustrative embodiment
In, the follow-up time that the available front vehicle of Cloud Server follows target vehicle to travel, and when the follow the bus of combination front vehicle
Between and be overlapped the registration between path and driving path to determine whether front vehicle tracks target vehicle.
Furthermore it is also possible to the quantity of optional path of the combining target vehicle on driving path when driving and be calculated
Registration determine whether front vehicle tracks target vehicle.It is appreciated that if what target vehicle travelled on driving path
In the process, there are multiple optional paths, i.e. front vehicle can choose traveling there are many path, at this point, if front vehicle
Travelled all along the driving path of target vehicle, then the front vehicle there are it is larger a possibility that tracking target carriage
?.In a kind of example, if the quantity of target vehicle optional path existing during travelling on driving path is more,
And front vehicle persistently follows target vehicle to travel, then a possibility that front vehicle tracking target vehicle, is also bigger;Conversely, if
The quantity of optional path is fewer, then also can be corresponding smaller a possibility that front vehicle tracking target vehicle.
It is worth noting that, in practical application, Cloud Server can be in conjunction with the danger classes of front vehicle, front vehicle
Follow-up time and target vehicle on driving path when driving any one in quantity of optional path etc. or it is multiple because
It is plain to determine whether front vehicle tracks target vehicle with calculated registration.As an example, big data can be used
The mode of analysis, using scoring, it is that tracking vehicle scores that be directed to each factor, which be front vehicle, is then calculated point
Several average value.If score average is more than certain threshold value, it is determined that front vehicle tracks target vehicle, if score average is low
In the threshold value, it is determined that front vehicle normally travel is not the vehicle of tracking target vehicle.
For example, the follow-up time when Cloud Server combination registration, the danger classes of front vehicle and front vehicle comes
When determining whether front vehicle tracks target vehicle, if path registration is 0.8, danger classes is high, follow-up time 0.2h
(hour), then can for be directed to path registration be front vehicle scoring be 80 points (full marks are 100 points), be directed to danger
Grade be front vehicle scoring be 100 points (full marks are 100 points), it is 60 points that be directed to follow-up time, which be front vehicle scoring, so
Calculate these three scores afterwards is equally divided into 80 points (calculating process is (80+100+60)/3), and this 80 points are higher than default point
Number threshold value 75 can then determine that the front vehicle tracks target vehicle, and then can carry out to the driver of target vehicle corresponding
Prompt.
In the present embodiment, degree is overlapped according to the path between front vehicle and target vehicle, to determine that front vehicle is
No tracking target vehicle, in order to which target vehicle can be prompted in time in the case where determining that front vehicle tracks target vehicle
Car owner, to protect the life privacy of target vehicle car owner and improve the personal safety of the car owner.Specifically, available
Target vehicle is overlapped path with front vehicle, wherein in the driving direction of target vehicle, front vehicle is located at target vehicle
Rear, also, the driving path of target vehicle is also obtained, the starting point of the driving path is consistent with the starting point in path is overlapped, if mesh
The length of driving path for marking vehicle reaches pre-set length threshold, then can calculate target vehicle and front vehicle is overlapped path
With the registration of the driving path of target vehicle, and according to the calculated registration of institute, to determine whether front vehicle tracks mesh
Mark vehicle.If being travelled since front vehicle tracks always target vehicle, then the road between front vehicle and target vehicle
Diameter registration would generally be higher, therefore, by calculating driving path between front vehicle and target vehicle in the present embodiment
Registration can determine whether front vehicle is to track the vehicle of target vehicle, and then determining rear based on the registration
When vehicle tracking target vehicle, timely the car owner for driving target vehicle can be prompted accordingly, so that car owner's energy
It is enough to find out to track the vehicle of traveling in time and take corresponding counter-measure, so as to effective protection target vehicle car owner's
Life privacy and the personal safety for improving the car owner.
It is worth noting that, being by taking Cloud Server recognition and tracking vehicle as an example in above-described embodiment to the embodiment of the present application
Technical solution describes in detail, can also be by target vehicle itself come recognition and tracking vehicle in practical application.At this point, with upper
Unlike stating in embodiment, target vehicle, can be direct after shooting to obtain image or video data using filming apparatus
The image or video data are parsed, and need that Cloud Server, the process of entire recognition and tracking vehicle will be sent to
It is to be completed by target vehicle, is not related to the interaction with Cloud Server.
In addition, the embodiment of the present application also provides a kind of devices of recognition and tracking vehicle.This Shen is shown referring to Fig. 3, Fig. 3
Please a kind of structural schematic diagram of the device of recognition and tracking vehicle in embodiment, which includes:
First obtains module 301, is overlapped path for obtain target vehicle and front vehicle, wherein in the target
In the driving direction of vehicle, the front vehicle is located at the target vehicle rear;
Second obtains module 302, for obtaining the driving path of the target vehicle, the starting point of the driving path and institute
The starting point for stating coincidence path is consistent;
Computing module 303 calculates the coincidence path if the length for the driving path reaches pre-set length threshold
With the registration of the driving path;
First determining module 304, for determining whether the front vehicle tracks the target carriage according to the registration
?.
In some possible embodiments, described device 300 further include:
Third obtains module, and for obtaining the characteristic information of the front vehicle, the characteristic information is used for after described
Square vehicle is identified.
In some possible embodiments, described device 300 is applied to Cloud Server, and the third obtains module, packet
It includes:
Receiving unit, the image or video data sent for receiving the target vehicle, described image or video data
It shoots to obtain by the filming apparatus being configured on the target vehicle;
Resolution unit, for parsing the characteristic information of the front vehicle from described image or video data.
In some possible embodiments, described device 300 further include:
Second determining module determines the danger etc. of the front vehicle for the characteristic information based on the front vehicle
Grade;
First determining module 304, specifically for the danger classes according to the registration and the front vehicle,
Determine whether the front vehicle tracks the target vehicle.
In some possible embodiments, second determining module, comprising:
Matching unit, the hazardous vehicles for will be stored in the characteristic information of the front vehicle and hazardous vehicles register base
Characteristic information matched, obtain matching result;
Determination unit, for determining the danger classes of the front vehicle according to the matching result.
In some possible embodiments, the characteristic information of the front vehicle include the front vehicle color,
Shape, type, brand, in license plate number any one or it is a variety of.
In some possible embodiments, described device 300 further include:
4th obtains module, for obtaining the follow-up time of the front vehicle;
First determining module 304, is specifically used for according to the registration and the follow-up time, determine it is described after
Whether square vehicle tracks the target vehicle.
In some possible embodiments, described device 300 further include:
5th obtains module, for obtaining the optional path of the target vehicle on the driving path when driving;
First determining module 304, is specifically used for according to the registration and the optional path, determine it is described after
Whether square vehicle tracks the target vehicle.
In some possible embodiments, described device 300 further include:
Cue module is used for if it is determined that the front vehicle tracking target vehicle, then drive the target vehicle
The person of sailing accordingly is prompted.
In the present embodiment, if being travelled since front vehicle tracks always target vehicle, then front vehicle and target
Path registration between vehicle would generally be higher, therefore, in the present embodiment by calculate front vehicle and target vehicle it
Between driving path registration, can be determined based on the registration front vehicle whether be track target vehicle vehicle, into
And when determining that front vehicle tracks target vehicle, timely the car owner for driving target vehicle can be prompted accordingly,
So that car owner can have found out to track the vehicle of traveling in time and take corresponding counter-measure, so as to effective protection mesh
It marks the life privacy of vehicle car owner and improves the personal safety of the car owner.
" first " in the titles such as " first obtain module " mentioned in the embodiment of the present application, " the first determining module " is only
For doing name mark, first sequentially is not represented.The rule is equally applicable to " second " etc..
As seen through the above description of the embodiments, those skilled in the art can be understood that above-mentioned implementation
All or part of the steps in example method can add the mode of general hardware platform to realize by software.Based on this understanding,
The technical solution of the application can be embodied in the form of software products, which can store is situated between in storage
In matter, such as read-only memory (English: read-only memory, ROM)/RAM, magnetic disk, CD etc., including some instructions to
So that a computer equipment (can be the network communication equipments such as personal computer, server, or router) executes
Method described in certain parts of each embodiment of the application or embodiment.
All the embodiments in this specification are described in a progressive manner, same and similar portion between each embodiment
Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.Especially for device reality
For applying example, since it is substantially similar to the method embodiment, so describing fairly simple, related place is referring to embodiment of the method
Part explanation.The apparatus embodiments described above are merely exemplary, wherein mould as illustrated by the separation member
Block may or may not be physically separated, and the component shown as module may or may not be physics
Module, it can it is in one place, or may be distributed over multiple network units.It can select according to the actual needs
Some or all of the modules therein achieves the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creation
Property labour in the case where, it can understand and implement.
The above is only the illustrative embodiment of the application, is not intended to limit the protection scope of the application.
Claims (10)
1. a kind of method of recognition and tracking vehicle, which is characterized in that the described method includes:
Acquisition target vehicle is overlapped path with front vehicle, wherein in the driving direction of the target vehicle, the rear
Vehicle is located at the target vehicle rear;
The driving path of the target vehicle is obtained, the starting point of the driving path is consistent with the coincidence starting point in path;
If the length of the driving path reaches pre-set length threshold, the calculating coincidence path is overlapped with the driving path
Degree;
According to the registration, determine whether the front vehicle tracks the target vehicle.
2. the method according to claim 1, wherein the method also includes:
The characteristic information of the front vehicle is obtained, the characteristic information is for being identified the front vehicle.
3. according to the method described in claim 2, it is characterized in that, the method is applied to Cloud Server, described in the acquisition
The characteristic information of front vehicle, comprising:
Image or video data that the target vehicle is sent are received, described image or video data are by being configured at the target carriage
Filming apparatus on shoots to obtain;
The characteristic information of the front vehicle is parsed from described image or video data.
4. according to the method described in claim 2, it is characterized in that, the method also includes:
Based on the characteristic information of the front vehicle, the danger classes of the front vehicle is determined;
It is described according to the registration, determine whether the front vehicle tracks the target vehicle, comprising:
According to the registration and the danger classes of the front vehicle, determine whether the front vehicle tracks the target
Vehicle.
5. according to the method described in claim 4, it is characterized in that, the characteristic information based on the front vehicle, determines
The danger classes of the front vehicle, comprising:
By the characteristic information progress of the hazardous vehicles stored in the characteristic information of the front vehicle and hazardous vehicles register base
Match, obtains matching result;
According to the matching result, the danger classes of the front vehicle is determined.
6. according to the method described in claim 2, it is characterized in that, the characteristic information of the front vehicle includes the rear vehicle
Color, shape, type, brand, in license plate number any one or it is a variety of.
7. the method according to claim 1, wherein the method also includes:
Obtain the follow-up time of the front vehicle;
It is described according to the registration, determine whether the front vehicle tracks the target vehicle, comprising:
According to the registration and the follow-up time, determine whether the front vehicle tracks the target vehicle.
8. the method according to claim 1, wherein the method also includes:
Obtain target vehicle quantity of optional path when driving on the driving path;
It is described according to the registration, determine whether the front vehicle tracks the target vehicle, comprising:
According to the registration and the quantity of the optional path, determine whether the front vehicle tracks the target carriage
?.
9. the method according to claim 1, wherein the method also includes:
If it is determined that the front vehicle tracks the target vehicle, then the driver of the target vehicle is accordingly prompted.
10. a kind of device of recognition and tracking vehicle, which is characterized in that described device includes:
First obtains module, is overlapped path for obtain target vehicle and front vehicle, wherein in the row of the target vehicle
It sails on direction, the front vehicle is located at the target vehicle rear;
Second obtains module, and for obtaining the driving path of the target vehicle, the starting point of the driving path is overlapped with described
The starting point in path is consistent;
Computing module, if the length for the driving path reaches pre-set length threshold, calculate the coincidence path with it is described
The registration of driving path;
First determining module, for determining whether the front vehicle tracks the target vehicle according to the registration.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811557777.2A CN109495849A (en) | 2018-12-19 | 2018-12-19 | A kind of method and device of recognition and tracking vehicle |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811557777.2A CN109495849A (en) | 2018-12-19 | 2018-12-19 | A kind of method and device of recognition and tracking vehicle |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109495849A true CN109495849A (en) | 2019-03-19 |
Family
ID=65711080
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811557777.2A Pending CN109495849A (en) | 2018-12-19 | 2018-12-19 | A kind of method and device of recognition and tracking vehicle |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109495849A (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110422151A (en) * | 2019-07-18 | 2019-11-08 | 浙江吉利新能源商用车集团有限公司 | A kind of vehicle auxiliary braking method, device, system and terminal |
CN110450780A (en) * | 2019-08-26 | 2019-11-15 | 广州小鹏汽车科技有限公司 | A kind of follow the bus method and apparatus based on low speed anticollision |
CN111210614A (en) * | 2020-01-16 | 2020-05-29 | 北京汽车集团有限公司 | Method and device for controlling motorcade running |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103824037A (en) * | 2013-12-26 | 2014-05-28 | 苏州清研微视电子科技有限公司 | Vehicle anti-tracking alarm device |
CN104715612A (en) * | 2013-12-12 | 2015-06-17 | 南京中兴力维软件有限公司 | Suspected vehicle tracking method and device achieved based on driving track matching |
CN105117096A (en) * | 2015-07-27 | 2015-12-02 | 惠州华阳通用电子有限公司 | Image identification based anti-tracking method and apparatus |
CN106052703A (en) * | 2016-05-26 | 2016-10-26 | 乐视控股(北京)有限公司 | Method and system for judging automobile tracking conditions |
EP3267419A1 (en) * | 2016-07-08 | 2018-01-10 | Volvo Car Corporation | Method and system for maintaining a database comprising reported traffic-affecting events |
-
2018
- 2018-12-19 CN CN201811557777.2A patent/CN109495849A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104715612A (en) * | 2013-12-12 | 2015-06-17 | 南京中兴力维软件有限公司 | Suspected vehicle tracking method and device achieved based on driving track matching |
CN103824037A (en) * | 2013-12-26 | 2014-05-28 | 苏州清研微视电子科技有限公司 | Vehicle anti-tracking alarm device |
CN105117096A (en) * | 2015-07-27 | 2015-12-02 | 惠州华阳通用电子有限公司 | Image identification based anti-tracking method and apparatus |
CN106052703A (en) * | 2016-05-26 | 2016-10-26 | 乐视控股(北京)有限公司 | Method and system for judging automobile tracking conditions |
EP3267419A1 (en) * | 2016-07-08 | 2018-01-10 | Volvo Car Corporation | Method and system for maintaining a database comprising reported traffic-affecting events |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110422151A (en) * | 2019-07-18 | 2019-11-08 | 浙江吉利新能源商用车集团有限公司 | A kind of vehicle auxiliary braking method, device, system and terminal |
CN110450780A (en) * | 2019-08-26 | 2019-11-15 | 广州小鹏汽车科技有限公司 | A kind of follow the bus method and apparatus based on low speed anticollision |
CN111210614A (en) * | 2020-01-16 | 2020-05-29 | 北京汽车集团有限公司 | Method and device for controlling motorcade running |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109495849A (en) | A kind of method and device of recognition and tracking vehicle | |
CN102208012B (en) | Landscape coupling reference data generation system and position measuring system | |
CN103914986B (en) | The method and apparatus that a kind of deck is analyzed | |
CN108460968A (en) | A kind of method and device obtaining traffic information based on car networking | |
CN106297317A (en) | A kind of vehicle parking detection method, terminal, server and system | |
CN109901156A (en) | A kind of subject fusion method and apparatus of vehicle millimetre-wave radar and camera | |
CN106407315A (en) | Vehicle self-positioning method based on street view image database | |
CN106326240A (en) | An object moving path identifying method and system | |
CN109584613A (en) | A kind of position information share method and device of free parking space | |
CN103390145B (en) | A kind of target area vehicle checking method and system | |
US11475679B2 (en) | Road map generation system and road map generation method | |
CN106128113A (en) | The recognition methods of fake license plate vehicle and device | |
CN111145555A (en) | Method and device for detecting vehicle violation | |
CN104574954A (en) | Vehicle checking method and system based on free flow system as well as control equipment | |
CN109754610A (en) | vehicle monitoring method and device | |
CN105976620A (en) | Speed monitoring method and device | |
CN113362610B (en) | Method, system, and computer-readable storage medium for identifying an offending traffic participant | |
CN110533945A (en) | Method for early warning, system, vehicle and the storage medium of traffic lights | |
CN111444810A (en) | Traffic light information identification method, device, equipment and storage medium | |
CN112349127A (en) | Method, terminal and analysis system for searching vehicle in parking lot | |
CN111696360A (en) | Parking monitoring method, system and camera | |
CN104422426A (en) | Method and apparatus for providing vehicle navigation information within elevated road region | |
CN113192217B (en) | Fee evasion detection method, fee evasion detection device, computer equipment and medium | |
CN107767189A (en) | A kind of advertisement sending method | |
CN107702728A (en) | A kind of vehicle travel determines method and apparatus |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190319 |
|
RJ01 | Rejection of invention patent application after publication |