CN108460968A - A kind of method and device obtaining traffic information based on car networking - Google Patents
A kind of method and device obtaining traffic information based on car networking Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 54
- 230000006855 networking Effects 0.000 title claims abstract description 35
- 238000012544 monitoring process Methods 0.000 claims abstract description 62
- 230000033001 locomotion Effects 0.000 claims description 42
- 238000012545 processing Methods 0.000 claims description 34
- 230000000903 blocking effect Effects 0.000 claims description 11
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- 206010039203 Road traffic accident Diseases 0.000 description 3
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- 241000208340 Araliaceae Species 0.000 description 2
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 2
- 235000003140 Panax quinquefolius Nutrition 0.000 description 2
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0141—Measuring and analyzing of parameters relative to traffic conditions for specific applications for traffic information dissemination
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
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Abstract
A method of traffic information is obtained based on car networking, including：Obtain the video image of road video monitoring；Object to entering default monitoring area in the video image is detected；The information that Real-time Feedback detects.A kind of device being obtained traffic information based on car networking is also provided, can precisely know traffic information.
Description
Technical field
The present embodiments relate to but be not limited to information technology field, it is espespecially a kind of that traffic letter is obtained based on car networking
The method and device of breath.
Background technology
In recent years, being continuously increased with transport need and number of vehicles, traffic system is increasingly complicated.It is heavy in order to meet
Transport need, so that user is preferably planned stroke, avoid unnecessary traffic congestion, ensure the continuity of traffic route operation
And globality, it can realize what the car networking of the intelligent management of traffic provided to build the transportation network of more effective
New direction.And due to that can support that the cost for looking into the vehicle mobile terminals of network savvy demand is higher, popularity rate is low at present, therefore vehicle
The practical application of networking and popularization are still by considerable degree of limitation.But it is whole with intelligent movable with the development of mobile network
End equipment is widely used, and the car networking built using the satellite positioning and wireless communication function of mobile intelligent terminal is made more
User participate in traffic information precisely perception with shared system in, be inexorable trend.
But it is reported that there is presently no the traffic informations based on car networking precisely to perceive and shared method.
Invention content
The technical problem to be solved in the present invention is to provide a kind of methods and dress obtaining traffic information based on car networking
It sets, precisely to know traffic information.
A method of traffic information is obtained based on car networking, including：
Obtain the video image of road video monitoring；
Object to entering default monitoring area in the video image is detected；
The information that Real-time Feedback detects.
Optionally, the process that is detected of object that monitoring area is preset in the described pair of entrance video image includes：
The object progress feature recognition of monitoring area is preset to entering in the video image.
Optionally, the object that monitoring area is preset in the described pair of entrance video image carries out feature recognition, including：
Detect the characteristic value of the moving object in two images；
The characteristic value for matching the moving object two-by-two, by the moving object identification in the immediate two width figure of characteristic function
For same object.
Optionally, before the characteristic value of the moving object in detecting two images, the method further includes：
Extraction selection one or more can uniquely indicate the characteristic value of target moving object to indicate target moving object.
Optionally, after the video image for obtaining road video monitoring, further include：
Real-time update is carried out to road background, moving object is isolated from the road background.
Optionally, the object of default monitoring area wraps during being detected in the described pair of entrance video image
It includes：
Shadow removing is carried out to the moving object.
Optionally, the object of default monitoring area also wraps during being detected in the described pair of entrance video image
It includes：
Such as there is mutually blocking between different motion object, then processing is split to the moving object mutually blocked.
Optionally, during the object of default monitoring area is detected in the described pair of entrance video image, also
Including：
When between different motion object the distance of travel direction much larger than moving object in front and back two frames move distance when, recognize
Fixed front and back two interframe distance is same moving object recently.
Optionally, in the described pair of entrance video image preset monitoring area object be detected including：
Moving object to entering default monitoring area in the video image is detected, and obtains the moving object
Running state information；
Moving object time shifting figure and/or moving object track are formed according to the running state information of the moving object
Curve graph.
Optionally, include before the video image for obtaining road video monitoring：
Receive location information and the concern traffic information request of the transmission of designated movement object.
Optionally, while the information that the Real-time Feedback detects, further include,
The traffic residing for the designated movement object is calculated, judges the designated movement object with preset parameter comparison
Residing for body in front of location whether congestion；
Jam situation is sent to the designated movement object.
A kind of device obtaining traffic information based on car networking is applied to car networking cloud platform, including：
Acquisition module, the video image for obtaining road video monitoring；
Processing module, for being detected to the object for entering default monitoring area in the video image；
Feedback module, the information that Real-time Feedback detects.
Optionally, the processing module, what the object to entering default monitoring area in the video image was detected
Further include that the object progress feature recognition of monitoring area is preset to entering in the video image in the process.
Optionally, the processing module, preset in the described pair of entrance video image monitoring area object carry out it is special
Sign identification, including：Detect the characteristic value of the moving object in two images；The characteristic value of the moving object is matched two-by-two, it will
Same object is regarded as in moving object in the immediate two width figure of characteristic function.
Optionally, the processing module further includes before the characteristic value of the moving object in detecting two images：It carries
Take selection one or more that can uniquely indicate the feature of target moving object to indicate target moving object.
Optionally, the processing module, for being carried out in real time more to road background using video image background update method
Newly, moving object is isolated from the road background.
Optionally, the processing module is additionally operable to carry out shadow removing to the moving object, different motion object such as occurs
Mutually blocking between body is then split processing to the moving object mutually blocked.
Optionally, the processing module, what the object to entering default monitoring area in the video image was detected
In the process, further include：When between different motion object the distance of travel direction much larger than moving object front and back two frame move away from
From when, assert that front and back two interframe distance is same moving object recently.
Optionally, the processing module, the object to entering default monitoring area in the video image are detected packet
It includes：Moving object to entering default monitoring area in the video image is detected, and obtains the operation of the moving object
Status information；Moving object time shifting figure and/or moving object rail are formed according to the running state information of the moving object
Trace curve figure.
Optionally, the acquisition module is in the location information and concern traffic road for receiving the transmission of designated movement object
After condition information request, the video image of related roads video monitoring is obtained.
Optionally, the processing module, for calculating the traffic residing for the designated movement object, with preset ginseng
Number comparison, judge residing for the designated movement object in front of location whether the traffic information of congestion, the traffic information is sent
To the designated movement object.
Optionally, it is a kind of based on car networking obtain traffic information system, including moving object and it is above-mentioned based on
Car networking obtains the device of traffic information.
To sum up, the present invention provides a kind of method and device obtaining traffic information based on car networking, can precisely obtain
Know traffic information.
Description of the drawings
Attached drawing described herein is used to provide further understanding of the present invention, and is constituted part of this application, this hair
Bright illustrative embodiments and their description are not constituted improper limitations of the present invention for explaining the present invention.
Fig. 1 is a kind of flow chart of method obtaining traffic information based on car networking of the embodiment of the present invention one；
Fig. 2 is a kind of flow chart of method obtaining traffic information based on car networking of the embodiment of the present invention two；
Fig. 3 is a kind of flow chart of method obtaining traffic information based on car networking of the embodiment of the present invention three；
Fig. 4 is the schematic diagram of according to embodiments of the present invention three setting trace regions；
Fig. 5 is a kind of schematic diagram of device obtaining traffic information based on car networking of the embodiment of the present invention.
Specific implementation mode
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing to the present invention
Embodiment be described in detail.It should be noted that in the absence of conflict, in the embodiment and embodiment in the application
Feature mutually can arbitrarily combine.
Embodiment one
Fig. 1 is a kind of flow chart of method obtaining traffic information based on car networking of the embodiment of the present invention, such as Fig. 1
Shown, the method for the present embodiment includes：
Step 11, the video image for obtaining road video monitoring；
Step 12 is detected the object for entering default monitoring area in the video image；
The information that step 13, Real-time Feedback detect.
It in the present embodiment, is detected, can be known in real time by the object in the video image to road video monitoring
Specific traffic information on road, for example, user's vision is not as good as pedestrian's situation of place, road accident, traffic accident feelings
Shape, vehicle lane change situation, congestion exact level, front and back whether have the emergency vehicles such as rescue fire fighting wrecking trucks will by with
A series of and traffic integrated informations such as other periphery traffic informations.
In an alternative embodiment, after the video image for obtaining road video monitoring, further include：
Real-time update is carried out to road background using video image background update method, is isolated from the road background
Moving object.
In an alternative embodiment, the object of default monitoring area is detected in the described pair of entrance video image
In the process, further include：
Shadow removing is carried out to the moving object, mutually blocking between different vehicle such as occurs, then to mutually blocking
Vehicle be split processing.
The method of the present embodiment can precisely know traffic information.
Embodiment two
A kind of method obtaining traffic information based on car networking of the present embodiment, can provide good auxiliary and drive
Information Sharing, as shown in Fig. 2, including the following steps：
Step 101, vehicle mobile terminals obtain the accurate location information of vehicle in real time, while driver independently selects to pay close attention to
Traffic information demand；
Step 102, vehicle real-time position information is sent to car networking cloud platform, while vehicle-mounted mobile by vehicle mobile terminals
Driver is independently selected the traffic information demand of concern to be sent to car networking cloud platform by terminal；
Step 103, car networking cloud platform is according to vehicle flowrate, speed, spacing, occupation rate, traffic time, real-time road video
Etc. information carry out Data Management Analysis；
Step 104, the data information and the fusion of other great influence information that car networking cloud platform obtains step 103 processing
(for example, information that the traffic control departments such as traffic temporary control, curfew are sent out) obtains doing what is required of social etiquette to user's vision not as good as place
Whether condition, road accident, traffic accident situation, vehicle lane change situation, congestion exact level, front and back have rescue fire fightings
The emergency vehicles such as wrecking truck will by and a series of traffic integrated informations such as other periphery traffic informations；
Step 105, using traffic integrated information, car networking cloud platform calculates the traffic residing for current vehicle,
With the parameter comparison of setting, judge residing for current vehicle in front of location whether congestion, if congestion executes step 106, if not congestion,
Then return to step 101；
Step 106, subsequent vehicle receives prompt message, to take lane-change, detour measure in advance.
Embodiment three
The present embodiment provides a kind of methods obtaining traffic information based on car networking, are realized using road video monitoring
Tracking to operational objective, obtains the isolated data of each self-movement unit in road video monitoring, while disclosing image
The relationship of each self-movement unit and contact in sequence.Here to the tracking side of moving vehicle in citing road video monitoring
Method, as shown in figure 3, including the following steps：
Step 201, the sequence of video images of road video monitoring is read in；
Step 202, the setting of trace regions mainly considers start line, end lines and the constrained line on both sides.
The speed of service of the vehicle on road is between 0~180km/h in most cases, the video of video camera shooting
Frame per second is 10~25 frames/between the second, under extreme case (speed 180km/h, frame per second are 10 frames/second), in order to allow moving vehicle
Occur on continuous three frame sequences image, then the actual range between start line and end lines requires have 15m.Urban road is logical
Often in the speed of service 100km/h of vehicle hereinafter, then the actual range between start line and end lines should be greater than 8.3m.Both sides
Constrained line is mainly the influence for removing other disturbing factors, and pavement, house can be taken in the range of usual video camera shooting
Building etc., and in order to avoid the influence of these factors, it needs that constrained line is arranged.Fig. 3 is the schematic diagram that trace regions are arranged.
Step 203, data acquire, and carry out real-time update to road background using video image background update method, obtain
Corresponding video image background data, the step further include：
Step 2031, context update, moving object detection need to efficiently separate moving target from background, consider weather
The different situations such as variation, day and night change can cause background image to change, therefore need real-time background updating；
Step 2032, Background generation, the variation of apparent complexity will not generally be occurred by giving tacit consent to background in the short time, take certain for the moment
Background of the background at quarter as the motion detection of car tracing vehicle in trace regions in the short time.
Step 204, moving object is detected, moving target is partitioned into from background；
The motor vehicle, non-motor vehicle of existing movement, pedestrian in video image, also there is the back ofs the body such as road, building, trees flowers and plants
Scape needs to divide required observed object from static background, that is, the motor vehicle that moves, non-motor vehicle, pedestrian.
Available method includes but not limited to the moving object detection based on Kalman filtering, the fortune based on background difference
Moving-target detection, is based on edge detection at the moving object detection based on statistical probability, the moving object detection based on inter-frame difference
Motion detection and moving object detection based on energy.
Step 205, the presence of shadow removing, vehicle shadow makes shadow region easily be mistakenly identified as moving region,
And vehicle each other lean on it is closer when, shade can be bonded together between Adjacent vehicles, its shadow of the vehicle of movement
And and then move together, when moving target is extracted in segmentation, shadow is not within target, and target is exactly vehicle itself.
Optional method include but not limited to vehicle shadow detection method based on model, feature based point vehicle shadow
Detection method, the detection method based on color space, based on vehicle shadow feature point detecting method, based on the detection of vehicle's contour
Method.
Step 206, block identification, fixed video camera collected data and monitor position, angle that road section places,
And height is improper, can inevitably occur mutually blocking between different vehicle in its image in shooting process.Mutually hide
Gear influences Traffic Information video acquisition system accuracy rate, the scope of application maximum.
If blocking, step 207 is executed, if not blocking, executes step 208；
Step 207 carries out blocking segmentation；
It is blocked mutually if two objects exist in video image, a target is regarded as by system in the picture, still
They are independent from each other, and the case where for blocking as presence, need correctly to detach target；
Available method includes but not limited to based on contour feature dividing method, statistical prediction methods, is based on morphology
Model blocks removing method etc..
Step 208, vehicle characteristics extract, and determine whether the position of sequence different frame in video image is same vehicle, according to
According to itself characteristic information such as the position of mainly vehicle, vehicle, color and shape；
Step 209, extraction selection one or more can uniquely indicate the feature of target vehicle to indicate moving target vehicle
To carry out car tracing；
Step 210, motion detection, in tracing process, it is possible to encounter the road background of environment complexity, such as dense fog is big
The low visibility weathers such as rain, illumination condition change (lightning, dazzle etc.), are between cart and trolley complete in a short time
It blocks, so that moving vehicle is detected that result is distorted or moving vehicle is lost, it is therefore desirable to carry out motion detection, work as outside
Condition is good, and moving vehicle detection result is good, executes step 211, if motion detection is ineffective, executes step 212；
Motion detection is exactly that detected the vehicle tracking of the movement in monitoring, in a short time the back of the body in general video
Scape is static constant, and vehicle is movement, can be locked vehicle target according to this feature, without tracing into roadside
Trees, building etc..But encounter the low visibility weathers such as the road background, such as dense fog heavy rain of environment complexity, illumination item
Part changes (lightning, dazzle etc.) in a short time.Algorithm when lock motion object will by larger interference,
But in the short time changed road background and be not belonging to movement vehicle, therefore need to take exercises detection carry out vehicle chase after
Track.
Step 211, characteristic matching is tracked, and goes to calculate target according to the correlation function of moving target between detection two images
Information change, there is matching when peak value in the object matching degree highest in two images, i.e. correlation function, then are best
Match, goes to step 213.
Dynamic video is divided into it the static images of a frame frame in actual processing, compares two width static images
In vehicle characteristic value, two-by-two match vehicle characteristic value, if characteristic function closest to (there is peak value in correlation function), i.e.,
For best match, the vehicle of best match in two width static images, it is believed that they are exactly same vehicle in dynamic video, with
This achievees the effect that dynamic target tracking.
Step 212, track of vehicle prediction tracking, available method include but not limited to kalman filtering methods, GM (1,
The methods of 1)；
As the auxiliary of tracking, when tracking target, it is necessary to which the case where considering with losing is carried out at the same time track of vehicle prediction and chases after
Track, using the result of prediction as tracking as a result, ensureing that system is quickly found out target, continues to track when with losing.
Step 213, match information, the distance of travel direction is much larger than vehicle in front and back two frame between different vehicle on road
Move distance, therefore think in travel direction, front and back two interframe distance is recently same vehicle, completes dynamic vehicle on this basis
Match tracing；
For example, in first frame picture for system, A in rear B preceding, in the second frame picture, B in rear A preceding, at this time
Think that front and back two interframe distance is same vehicle recently, i.e. tracking object exchanges.This is acquiescence, because such situation is almost
Can not possibly, because of one second at least 12 frames or 24 frames etc..In view of the integrality of system, such case is added, just in case go out
Existing, system remains to continue normal operation.
Step 214, detection trace regions whether there is new moving vehicle, and if it exists, execute step 215；If there is no hold
Row step 216；
Step 215, car number is carried out to the new moving vehicle of trace regions, executes step 216；
Step 216, according to target vehicle feature extraction as a result, being carried out at successive frame to the moving vehicle for entering trace regions
Reason, obtains the tracked information of target vehicle information serialization trajectory analysis；
Step 217, vehicle-state constantly changes in trace regions, therefore the record content of tracked information table can be with target carriage
Variation and dynamic update；
With the variation of ambient, weather, the light and shade depth of same vehicle color can change in video, but in order to
Ensure the state constantly by variation will not be needed to update into tracked information table with mistake in subsequent video.
Step 218, tracked information, location tracking video image vehicle, to obtain discrete travel condition of vehicle are stored
Information, the main displacement time information travelled including vehicle, dimension information, flow information, density information, are occupied at velocity information
The various aspects Traffic Information such as rate information, and form vehicle time displacement diagram, track of vehicle curve graph etc.；
Step 219 incites somebody to action the newer tracked information of dynamic, is tracked information processing in real time, turns to step 209, to carry out
More effective accurately motion detection；
Step 218 storage tracked information parameter is exported the accurate road conditions perceptual computing of progress by step 220 in real time.
Fig. 5 is a kind of schematic diagram of device obtaining traffic information based on car networking of the embodiment of the present invention, such as Fig. 5
Shown, the device 400 of the present embodiment includes：
Acquisition module 401, the video image for obtaining road video monitoring；
Processing module 402, for being detected to the object for entering default monitoring area in the video image；
Feedback module 403, the information that Real-time Feedback detects.
Optionally, processing module 402, for being carried out in real time more to road background using video image background update method
Newly, moving object is isolated from the road background.
Optionally, processing module 402 are additionally operable to carry out shadow removing to the moving object, different motion object such as occur
Mutually blocking between body is then split processing to the moving object mutually blocked.
In an alternative embodiment, processing module 402, to enter the video image in preset monitoring area object into
Row detection includes that detection is below a kind of to a variety of：The motion state of the object, the occupation rate in road of the object, vehicle
Flow, speed and spacing preset the object progress feature recognition of monitoring area to entering in the video image.
Optionally, processing module 402, the object to entering default monitoring area in the video image are detected packet
It includes：Detect the characteristic value of the moving object in two images；The characteristic value of the moving object is matched two-by-two, most by characteristic function
Same object is regarded as in moving object in two close width figures.
Optionally, the processing module, preset in the described pair of entrance video image monitoring area object carry out it is special
Sign identifies, further includes：Extraction selection one or more can uniquely indicate the feature of target moving object to indicate that moving target is transported
Animal body.
Optionally, the processing module, the moving object to entering default monitoring area in the video image are examined
It surveys, obtains the running state information of the moving object；Moving object is formed according to the running state information of the moving object
Time shifting figure and/or moving object geometric locus figure.
In an alternative embodiment, acquisition module 401 is in location information and the pass for receiving the transmission of designated movement object
After noting traffic information request, the video image of related roads video monitoring is obtained.
Optionally, processing module 402, for calculating the traffic residing for the designated movement object, with preset ginseng
Number comparison, judge residing for designated movement object in front of location whether the traffic information of congestion, the traffic information is sent to institute
State designated movement object.
Compared with the existing technology, the embodiment of the present invention is realized that traffic information is precisely perceived and shared, is passed through using car networking
Real-time road condition information is acquired and data mining analysis, is happened suddenly thing not as good as pedestrian's situation of place, road to user's vision
Whether part, traffic accident situation, vehicle lane change situation, congestion exact level, front and back have rescue fire fighting wrecking trucks etc. urgent
Vehicle will by and a series of comprehensive road condition informations such as other periphery traffic informations carry out early warning, while to congested link into
Row prompts in advance, alleviates traffic congestion sprawling, realizes traffic guidance.
One of ordinary skill in the art will appreciate that all or part of step in the above method can be instructed by program
Related hardware is completed, and described program can be stored in computer readable storage medium, such as read-only memory, disk or CD
Deng.Optionally, all or part of step of above-described embodiment can also be realized using one or more integrated circuits.Accordingly
Ground, the form that hardware may be used in each module/unit in above-described embodiment are realized, the shape of software function module can also be used
Formula is realized.The present invention is not limited to the combinations of the hardware and software of any particular form.
It these are only the preferred embodiment of the present invention, certainly, the invention may also have other embodiments, without departing substantially from this
In the case of spirit and its essence, those skilled in the art make various corresponding changes in accordance with the present invention
And deformation, but these corresponding change and deformations should all belong to the protection domain of appended claims of the invention.
Claims (22)
1. a kind of method that traffic information is obtained based on car networking, including：
Obtain the video image of road video monitoring；
Object to entering default monitoring area in the video image is detected；
The information that Real-time Feedback detects.
2. the method as described in claim 1, it is characterised in that：
The process that is detected of object that monitoring area is preset in the described pair of entrance video image includes：
The object progress feature recognition of monitoring area is preset to entering in the video image.
3. method as claimed in claim 2, it is characterised in that：Monitoring area is preset in the described pair of entrance video image
Object carries out feature recognition, including：
Detect the characteristic value of the moving object in two images；
The characteristic value for matching the moving object two-by-two regards as the moving object in the immediate two width figure of characteristic function together
One object.
4. method as claimed in claim 3, it is characterised in that：The characteristic value of moving object in detecting two images it
Before, the method further includes：
Extraction selection one or more can uniquely indicate the characteristic value of target moving object to indicate target moving object.
5. method according to any one of claims 1-4, it is characterised in that：The video image for obtaining road video monitoring
Afterwards, further include：
Real-time update is carried out to road background, moving object is isolated from the road background.
6. method as claimed in claim 5, it is characterised in that：Monitoring area is preset in the described pair of entrance video image
Object includes during being detected：
Shadow removing is carried out to the moving object.
7. method as claimed in claim 6, it is characterised in that：Monitoring area is preset in the described pair of entrance video image
Object further includes during being detected：
Such as there is mutually blocking between different motion object, then processing is split to the moving object mutually blocked.
8. the method for claim 7, it is characterised in that：Monitoring area is preset in the described pair of entrance video image
During object is detected, further include：
When between different motion object the distance of travel direction much larger than moving object in front and back two frames move distance when, before identification
Two interframe distance is same moving object recently afterwards.
9. method as claimed in claim 8, it is characterised in that：Monitoring area is preset in the described pair of entrance video image
Object be detected including：
Moving object to entering default monitoring area in the video image is detected, and obtains the operation of the moving object
Status information；
Moving object time shifting figure and/or moving object geometric locus are formed according to the running state information of the moving object
Figure.
10. method according to any one of claims 1-4, it is characterised in that：
Include before the video image for obtaining road video monitoring：
Receive location information and the concern traffic information request of the transmission of designated movement object.
11. method as claimed in claim 10, it is characterised in that：While the information that the Real-time Feedback detects, also wrap
It includes,
The traffic residing for the designated movement object is calculated, judges the designated movement object institute with preset parameter comparison
Locate location in front of whether congestion；
Jam situation is sent to the designated movement object.
12. a kind of device obtaining traffic information based on car networking, is applied to car networking cloud platform, which is characterized in that packet
It includes：
Acquisition module, the video image for obtaining road video monitoring；
Processing module, for being detected to the object for entering default monitoring area in the video image；
Feedback module, the information that Real-time Feedback detects.
13. device as claimed in claim 12, it is characterised in that：
The processing module, the object to entering default monitoring area in the video image also wrap during being detected
It includes, the object progress feature recognition of monitoring area is preset to entering in the video image.
14. device as claimed in claim 13, it is characterised in that：
The processing module, the object that monitoring area is preset in the described pair of entrance video image carry out feature recognition, including：
Detect the characteristic value of the moving object in two images；The characteristic value for matching the moving object two-by-two most connects characteristic function
Same object is regarded as in moving object in two close width figures.
15. device as claimed in claim 14, it is characterised in that：
The processing module further includes before the characteristic value of the moving object in detecting two images：Extraction selection one or
It is multiple uniquely to indicate the feature of target moving object to indicate target moving object.
16. such as claim 12-14 any one of them devices, it is characterised in that：
The processing module, for carrying out real-time update to road background using video image background update method, from the road
Moving object is isolated in the background of road.
17. device as claimed in claim 16, it is characterised in that：
The processing module is additionally operable to carry out shadow removing to the moving object, the phase between different motion object such as occurs
It mutually blocks, then processing is split to the moving object mutually blocked.
18. such as claim 12-14 any one of them devices, it is characterised in that：
The processing module is also wrapped during the object to entering default monitoring area in the video image is detected
It includes：When between different motion object the distance of travel direction much larger than moving object in front and back two frames move distance when, before identification
Two interframe distance is same moving object recently afterwards.
19. device as claimed in claim 18, it is characterised in that：
The processing module, to enter the video image in preset monitoring area object be detected including：To entering
The moving object for stating default monitoring area in video image is detected, and obtains the running state information of the moving object；Root
Moving object time shifting figure and/or moving object geometric locus figure are formed according to the running state information of the moving object.
20. device as claimed in claim 12, it is characterised in that：
The acquisition module is in the location information and concern traffic information request for receiving the transmission of designated movement object
Afterwards, the video image of related roads video monitoring is obtained.
21. device as claimed in claim 20, it is characterised in that：
The processing module, with preset parameter comparison, judges for calculating the traffic residing for the designated movement object
Residing for the designated movement object in front of location whether the traffic information of congestion, the traffic information is sent to the specified fortune
Animal body.
22. a kind of system obtaining traffic information based on car networking, which is characterized in that including moving object and as right is wanted
Seek any devices that traffic information is obtained based on car networking of 12-21.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710097475.0A CN108460968A (en) | 2017-02-22 | 2017-02-22 | A kind of method and device obtaining traffic information based on car networking |
| PCT/CN2018/074248 WO2018153211A1 (en) | 2017-02-22 | 2018-01-26 | Method and apparatus for obtaining traffic condition information, and computer storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710097475.0A CN108460968A (en) | 2017-02-22 | 2017-02-22 | A kind of method and device obtaining traffic information based on car networking |
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| Publication Number | Publication Date |
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| CN108460968A true CN108460968A (en) | 2018-08-28 |
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| CN201710097475.0A Withdrawn CN108460968A (en) | 2017-02-22 | 2017-02-22 | A kind of method and device obtaining traffic information based on car networking |
Country Status (2)
| Country | Link |
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| CN (1) | CN108460968A (en) |
| WO (1) | WO2018153211A1 (en) |
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