CN106228835A - A kind of parking stall Parking determination methods and system - Google Patents
A kind of parking stall Parking determination methods and system Download PDFInfo
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- CN106228835A CN106228835A CN201610566390.8A CN201610566390A CN106228835A CN 106228835 A CN106228835 A CN 106228835A CN 201610566390 A CN201610566390 A CN 201610566390A CN 106228835 A CN106228835 A CN 106228835A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/145—Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas
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- E—FIXED CONSTRUCTIONS
- E04—BUILDING
- E04H—BUILDINGS OR LIKE STRUCTURES FOR PARTICULAR PURPOSES; SWIMMING OR SPLASH BATHS OR POOLS; MASTS; FENCING; TENTS OR CANOPIES, IN GENERAL
- E04H6/00—Buildings for parking cars, rolling-stock, aircraft, vessels or like vehicles, e.g. garages
- E04H6/42—Devices or arrangements peculiar to garages, not covered elsewhere, e.g. securing devices, safety devices, monitoring and operating schemes; centering devices
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Abstract
The invention provides a kind of parking stall Parking determination methods, including: by obtaining the trace information of moving vehicle, whether moving vehicle had into position or go out a trend and carry out anticipation;By the characteristic point quantity of moving target in all parking stalls of obtaining, whether moving target had into position or go out a trend and carry out anticipation;The regional location of the moving vehicle obtained when first time anticipation has, with the regional location of all moving targets that second time anticipation obtains, the region overlapped, and be judged in advance for the first time be, when the second time anticipation of the moving target that overlapping region is corresponding is also for being, judge now whether overlapping region exists vehicle again, when there is vehicle, represent that vehicle has into position or goes out a trend.Last again by the method for geomagnetism detecting, it is judged that whether vehicle completes into position or complete out position.Again by according to anticipation results acquisition to information of vehicles upload and preserve, it is ensured that in vehicle management system preserve information of vehicles be effective.
Description
Technical field
The present invention relates to intelligent transportation field, particularly relate to a kind of parking stall Parking determination methods and system.
Background technology
At present, video technique has been widely used for the regions such as parking lot, urban road and highway, carries out vehicle letter
The crawl of breath and identification.During being managed road parking place, vehicle management system is also required to use video technique
The license board information of collection vehicle, thus realize the management to road parking place.
But when vehicle stops completely behind parking stall, and the license board information of vehicle is blocked completely, it is impossible to obtained by photographic head
The license board information of vehicle.Need when vehicle stops the most completely into parking stall or the most fully out parking stall, automatically identify vehicle
Information, carries out anticipation accordingly, it would be desirable to whether have vehicle into a trend, after anticipation to vehicle has a trend, and collection vehicle
Information, if but the most just upload to vehicle management system preserves by the information of vehicles collected, it is possible to because some
Reason, vehicle has failed just to have left into position, or vehicle goes out a rear vehicle the most completely and stopped back again parking stall, thus can make
It is invalid for becoming the information of vehicles collected.
Summary of the invention
In view of this, the invention provides a kind of parking stall Parking determination methods, solve anticipation in prior art and arrive
After vehicle has position or goes out a trend, the problem collecting invalid information of vehicles, the method includes:
The technical scheme is that
The invention discloses the method that a kind of parking stall Parking judges, described method includes:
Obtain moving vehicle movement locus in predetermined areas;
When described movement locus shows that described moving vehicle has rolled the parking stall line pre-seted, determine described moving vehicle
The position, first area being currently located;And judge the first movement tendency that described moving vehicle is current;
Call default background modeling algorithm, obtain the feature of moving target in described predetermined areas each parking stall interior
The position, target area that in some quantity, and each parking stall, moving target is presently in;
According to the characteristic point quantity of moving target in each parking stall, it is judged that the motion that in each parking stall, moving target is preset becomes
Gesture;
When there is, with position, described first area, the region overlapped the position, target area that there is moving target in each parking stall,
And the movement tendency of the moving target corresponding with the position, target area that position, described first area coincides with described first fortune
When the direction of motion of dynamic trend is identical, it is judged that whether the region of coincidence exists vehicle;
When there is vehicle, described meter for vehicle being shown as target vehicle, and shows that described target vehicle exists the fortune preset
Dynamic trend, wherein said default movement tendency includes into a trend and goes out a trend;
After detecting that described target vehicle has default movement tendency, detect told target vehicle by geomagnetism detecting device
Whether completely into target parking stall or roll target parking stall completely away from, described target parking stall is to move described in described overlapping region
The parking stall at target place.
Said method, it is preferred that described acquisition moving vehicle movement locus in predetermined areas, including:
Obtain the video frame information in described predetermined areas;
Resolve described video frame information, obtain the texture information of described moving region range of motion vehicle, and according to institute
State texture information described moving vehicle is tracked;
Analyze the tracking result of described moving vehicle, obtain the movement locus of described moving vehicle.
Said method, it is preferred that described according to the characteristic point quantity of moving target in each parking stall, it is judged that in each parking stall
The movement tendency that moving target is preset, including:
Judge that whether the quantity of described moving target characteristic point is more than the first threshold preset;
When more than described first threshold, represent that the movement tendency of described moving target is for entering a trend;
Judge that whether the quantity of described moving target characteristic point is more than the Second Threshold preset;
When more than described Second Threshold, represent that the movement tendency of described moving target is for going out a trend;And described
One threshold value is less than described Second Threshold.
Said method, it is preferred that described after detecting that described target vehicle has default movement tendency, is examined by earth magnetism
Surveying device and detect described target vehicle whether completely into target parking stall or roll target parking stall completely away from, described target parking stall is institute
State the region of moving target place described in overlapping region, including:
After local magnetic detector detects that described target vehicle enters target parking stall, obtain described target vehicle at described mesh
The berthing time of mark parking stall;
When described berthing time is more than three threshold value preset, represent that vehicle is completely into target parking stall;
After geomagnetism detecting device detects that described target vehicle rolls target parking stall away from, obtain described target vehicle and leave described mesh
The time of mark parking stall;
When the time that described target vehicle leaves described target parking stall is more than four threshold value preset, represent described target
Vehicle rolls described target parking stall completely away from.
Said method, it is preferred that also include before the first movement tendency that the described moving vehicle of described judgement is current:
When described moving vehicle has rolled the parking stall line pre-seted, it is judged that the parking stall line pre-seted described in having rolled is
The no non-pedestrian side in parking stall;
If in non-pedestrian side, represent that described moving vehicle exists the first movement tendency.
The invention also discloses a kind of parking stall Parking and judge that system, described system include:
First acquiring unit, for obtaining moving vehicle movement locus in predetermined areas;
Determine and the first judging unit, for showing that described moving vehicle has rolled the car pre-seted when described movement locus
During bit line, determine the position, first area that described moving vehicle is currently located;And judge the first fortune that described moving vehicle is current
Dynamic trend;
Second acquisition unit, for calling default background modeling algorithm, obtains each car in described predetermined areas
The characteristic point quantity of moving target in Wei, and the position, target area that in each parking stall, moving target is presently in;
Second judging unit, for according to the characteristic point quantity of moving target in each parking stall, it is judged that transports in each parking stall
The movement tendency that moving-target is preset;
3rd judging unit, for when there is the position, target area of moving target and described first area in each parking stall
There are the region of coincidence, and the motion of the moving target corresponding with the position, target area that position, described first area coincides in position
When trend is identical with the direction of motion of described first movement tendency, it is judged that whether the region of coincidence exists vehicle;
First represents unit, for when there is vehicle, described meter for vehicle being shown as target vehicle, and represents described target
There is the movement tendency preset in vehicle, wherein said default movement tendency includes into a trend and goes out a trend;
Detector unit, for after detecting that described target vehicle has default movement tendency, is examined by geomagnetism detecting device
Surveying described target vehicle whether completely into target parking stall or roll target parking stall completely away from, described target parking stall is described coincidence
The parking stall of moving target place described in region.
Said system, it is preferred that described first acquiring unit includes:
First obtains subelement, for obtaining the video frame information in described predetermined areas;
Follow the tracks of subelement, be used for resolving described video frame information, obtain the stricture of vagina of described moving region range of motion vehicle
Reason information, and according to described texture information, described moving vehicle is tracked;
Determine subelement, for analyzing the tracking result of described moving vehicle, obtain the movement locus of described moving vehicle.
Said system, it is preferred that described second judging unit includes:
First judgment sub-unit, for judging that whether the quantity of described moving target characteristic point is more than the first threshold preset
Value;
First represents subelement, for when more than described first threshold, represents that the movement tendency of described moving target is
Enter a trend;
Second judgment sub-unit, for judging that whether the quantity of described moving target characteristic point is more than the second threshold preset
Value;
Second represents subelement, for when more than described Second Threshold, represents that the movement tendency of described moving target is
Go out a trend;And described first threshold is less than described Second Threshold.
Said system, it is preferred that described detector unit includes:
Second obtains subelement, after local magnetic detector detects that described target vehicle enters target parking stall, obtains
Described target vehicle is at the berthing time of described target parking stall;
3rd represents subelement, for when described berthing time is more than three threshold value preset, representing that vehicle enters completely
Enter target parking stall;
3rd obtains subelement, after geomagnetism detecting device detects that described target vehicle rolls target parking stall away from, obtains institute
State target vehicle and leave the time of described target parking stall;
4th represents subelement, for leaving the time of described target parking stall when described target vehicle more than the 4th preset
During threshold value, represent that described target vehicle rolls described target parking stall completely away from.
Said system, it is preferred that also include:
4th judging unit, for when described moving vehicle has rolled the parking stall line pre-seted, it is judged that the institute rolled
State the parking stall line that pre-sets whether in the non-pedestrian side of parking stall;
Second represents unit, if in non-pedestrian side, representing that described moving vehicle exists the first movement tendency.
The invention provides a kind of parking stall Parking determination methods, including: by obtaining the trace information of moving vehicle,
Whether moving vehicle had into position or go out a trend and carry out anticipation;By the method for background modeling, obtain motion mesh in parking stall
Whether target characteristic point quantity, have moving target into position according to this feature information or go out a trend and carry out anticipation;Work as track
The regional location at the moving vehicle place that detection obtains and the position, region of all moving targets obtained by background modeling method
There is overlapping region in putting, and the result of track detection anticipation is into position or goes out a trend and overlapping region is corresponding
When the moving target anticipation of target area has into position or goes out trend, it is judged that whether this overlapping region exists vehicle, if
Exist, then it represents that this vehicle has into position or goes out a trend;Last again by the method for geomagnetism detecting, it is judged that whether vehicle completes
Enter position or complete out position.To be checked measure after vehicle completes position, then will collect when anticipation has into position or goes out trend
Information of vehicles upload and preserve, it is ensured that in vehicle management system preserve information of vehicles be effective.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
In having technology to describe, the required accompanying drawing used is briefly described, it should be apparent that, the accompanying drawing in describing below is only this
Inventive embodiment, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to according to
The accompanying drawing provided obtains other accompanying drawing.
The flow chart of the embodiment of the method 1 that a kind of parking stall of Fig. 1 the application Parking judges;
The another method flow diagram of a kind of parking stall of Fig. 2 the application Parking determination methods;
The another method flow diagram of a kind of parking stall of Fig. 3 the application Parking determination methods;
The another method flow diagram of a kind of parking stall of Fig. 4 the application Parking determination methods;
A kind of parking stall of Fig. 5 the application Parking judges the structural representation of system embodiment 1;
A kind of parking stall of Fig. 6 the application Parking judges the structural representation of system embodiment 2.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Describe, it is clear that described embodiment is only a part of embodiment of the present invention rather than whole embodiments wholely.Based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under not making creative work premise
Embodiment, broadly falls into the scope of protection of the invention.
With reference to Fig. 1, it is shown that the flow chart of a kind of parking stall of the application Parking determination methods embodiment 1, can include
Following steps:
Step S101: obtain moving vehicle movement locus in predetermined areas;
In the present invention, first vehicle management system real-time acquisition can be managed the video frame information in region, analyzes and obtains
Video frame information, utilize moving target parser to obtain the position, region at moving object and moving object place in this region
Putting, further according to the regional location at wagon detector detection vehicle place, fusional movement goal analysis algorithm and wagon detector obtain
The result arrived, obtains the moving vehicle in this region.Described moving vehicle is carried out feature extraction, extracts the texture of moving vehicle
Information, according to the texture information of moving vehicle, is tracked the vehicle of motion, is analyzed following the tracks of result, storage motion
Vehicle position in each two field picture, and then obtain the movement locus of moving vehicle.
Step S102: when described movement locus shows that described moving vehicle has rolled the parking stall line pre-seted, determine institute
State the position, first area that moving vehicle is currently located;And judge the first movement tendency that described moving vehicle is current;
In the present invention, the movement locus of moving vehicle is analyzed, when moving vehicle has rolled parking stall line, obtains this
Time moving vehicle place regional location, be expressed as position, first area, and judge that whether the parking stall line rolled is in parking stall
Non-pedestrian side, if in non-pedestrian side, showing that moving vehicle has into a trend or goes out a trend, by now enter position and going out
Position trend is expressed as first and enters a trend and first and go out a trend, and judges that now moving vehicle is first to enter position also trend
It is first to go out a trend.
Step S103: call default background modeling algorithm, obtains in described predetermined areas each parking stall interior and moves
Clarification of objective point quantity, and the position, target area that in each parking stall, moving target is presently in;
In the present invention, each parking stall has the position of correspondence in the video frame, first configures the parking stall in video, obtains
Take the positional information of each parking stall.Scene in frame of video is carried out background modeling, thus obtains foreground information, this foreground information
For all moving targets in parking stall in monitoring region, moving target is all objects carrying out moving, and can be the people of motion
Or the vehicle etc. of motion, then obtains the characteristic point quantity of all moving targets.Further, when the scene in frame of video is carried out
After background modeling obtains the moving target in parking stall, obtain the position, target area of all moving targets, be expressed as target area
Position.Wherein, characteristic point can be pixel.
Step S104: according to the characteristic point quantity of moving target in each parking stall, it is judged that in each parking stall, moving target is pre-
If movement tendency;
In the present invention, when the quantity of moving target characteristic point obtained exceedes threshold value M, show now moving target have into
Position trend, is expressed as second and enters a trend;When the quantity of the moving target characteristic point obtained has exceeded threshold value N, show now
Moving target has a trend, is expressed as second and goes out a trend;And an area of the vehicle in parking stall when going out due to vehicle
Be greater than into time vehicle area, therefore threshold value N be more than threshold value M.
Step S105: when there is weight the position, target area that there is moving target in each parking stall with position, described first area
The region closed, and the movement tendency of the moving target corresponding with the position, target area that position, described first area coincides and institute
State the direction of motion of the first movement tendency identical time, it is judged that whether the region of coincidence exists vehicle;
Step S106: when there is vehicle, is shown as described meter for vehicle target vehicle, and shows that described target vehicle exists
The movement tendency preset, wherein said default movement tendency includes into a trend and goes out a trend;
In the present invention, step 101-step 102 is expressed as movement locus detection method, by step 103-step 104 table
It is shown as method for detecting parking stalls, the position, first area of moving vehicle that will be obtained by movement locus detection method, examine with parking stall
The position, target area of all moving targets that survey method obtains is mated, when existing in each position, target area and described the
The region that one regional location can overlap, and movement locus detection method determined that first enters a trend, and parking stall measure method is true
Make moving target corresponding to target area overlapped with position, first area when having second to enter trend, further according to vehicle detection
Device judges whether there is vehicle in the region overlapped.Or same above method, movement locus detection method has determined that first goes out
Position trend, whether parking stall measure method has been determined second when going out trend, judge further according to wagon detector in the region of coincidence
There is vehicle.
In the present invention, when the region overlapped exists vehicle, described meter for vehicle is shown as target vehicle, shows sport(s) car
Exist into a trend or go out a trend.
Step S107: after detecting that described target vehicle has default movement tendency, detects institute by geomagnetism detecting device
Stating target vehicle whether completely into target parking stall or roll target parking stall completely away from, described target parking stall is described overlapping region
Described in the parking stall at moving target place.
In the present invention, after judging that target vehicle has a trend, detect described target vehicle by geomagnetism detecting device
Whether completely in parking stall;After judging that target vehicle has a trend, detect described target carriage by geomagnetism detecting device
The most fully out parking stall.
In the present invention, movement locus detection method and method for detecting parking stalls are carried out simultaneously.
In the present invention, three anticipations are carried out by whether the vehicle in monitoring region is had into a trend, if three times pre-
The result sentenced, all represents when vehicle has into position or goes out trend, means that vehicle has into position or goes out a trend, now vehicle
Management system just can be with the information of collection vehicle, after determining that vehicle has position or goes out a trend, recycling geomagnetism detecting
Method confirms whether vehicle completes into position or go out position, after the most fully validated vehicle has entered position or gone out position, just uploads car
The information of vehicles of position.Solve in prior art, only by vehicle is carried out anticipation, and preserve asking of invalid information of vehicles
Topic.
With reference to Fig. 2, for the another method flow diagram of the present invention a kind of vehicle parking event judgment method, including:
Described acquisition moving vehicle movement locus in predetermined areas, including:
Step S201: obtain the video frame information in described predetermined areas;
Step S202: resolve described video frame information, obtains the texture information of described moving region range of motion vehicle,
And according to described texture information, described moving vehicle is tracked;
Step S203: analyze the tracking result of described moving vehicle, obtain the movement locus of described moving vehicle.
In the present invention, first vehicle management system real-time acquisition can be managed the video frame information in region, analyzes and obtains
Video frame information, utilize moving target parser to obtain the position, territory at moving object and moving object place in this region
Putting, further according to the regional location at wagon detector detection vehicle place, fusional movement goal analysis algorithm and wagon detector obtain
The result arrived, obtains the moving vehicle in this region.Described moving vehicle is carried out feature extraction, extracts the texture of moving vehicle
Information, if extracting the texture information texture information according to moving vehicle of vehicle, is tracked, if not carrying the vehicle of motion
The texture information getting vehicle then terminates;It is analyzed following the tracks of result, stores moving vehicle position in each two field picture,
And then obtain the movement locus of moving vehicle.
In the present invention, by moving vehicle is followed the tracks of the movement locus obtaining vehicle, application the method can obtain accurately
Get the movement locus of vehicle.
In the present invention, after getting the movement locus of moving vehicle, it is judged that moving vehicle has rolled parking stall line the most,
When having rolled parking stall line, obtain the regional location now residing for moving vehicle, and judge that whether the parking stall line position rolled is
The non-pedestrian side of parking stall, if non-pedestrian side, shows that moving vehicle has into position or goes out a trend, then judges that moving vehicle is intended to
Enter position and still go out position.
In the present invention, method for detecting parking stalls is, first initializes the parking stall in video, obtains the position of each parking stall
Information.Then the scene in frame of video being carried out background modeling, thus obtain foreground information, this foreground information is in monitoring region
All moving targets in parking stall, moving target is all objects carrying out moving, and can be people or the car of motion of motion
Etc., then obtain the characteristic point quantity of all moving targets.Further, when the scene in frame of video is carried out background modeling acquisition
After moving target in parking stall, obtain the position, target area of all moving targets, be expressed as position, target area.Wherein, special
Levying can be some pixel.If after carrying out background modeling, obtain less than foreground information, show the target do not moved.
When the quantity of the moving target characteristic point obtained exceedes threshold value M, show that now moving target has into a trend;When
When the quantity of the moving target characteristic point obtained is less than threshold value M, show that moving target does not enter a trend.
When the quantity of the moving target characteristic point obtained has exceeded threshold value N, show that now moving target has a trend;
When the quantity of the moving target characteristic point obtained is less than threshold value N, show that now moving target does not go out a trend.
Wherein due to when vehicle goes out the area of the vehicle in parking stall be greater than into time vehicle area, therefore threshold value
N is more than threshold value M.
With reference to Fig. 3-4, for the another method flow diagram of a kind of parking stall of the application Parking determination methods, including:
Step S301: after local magnetic detector detects that described target vehicle enters target parking stall, obtain described target carriage
Berthing time in described target parking stall;
Step S302: when described berthing time is more than three threshold value preset, represents that vehicle is completely into target parking stall;
When first three time anticipation result shows that vehicle has into trend, vehicle is detected by geomagnetism detecting device, works as detection
After entering parking stall to there being vehicle, obtain the time that vehicle is stopped in parking stall, when berthing time is more than threshold value T, represent vehicle
Completely into parking stall.
Step S401: after geomagnetism detecting device detects that described target vehicle rolls target parking stall away from, obtain described target vehicle
Leave the time of described target parking stall;
Step S402: when the time that described target vehicle leaves described target parking stall is more than four threshold value preset, table
Show that described target vehicle rolls described target parking stall completely away from.
When first three time anticipation result is, when moving vehicle has trend, vehicle is detected by geomagnetism detecting device, works as inspection
Measured after vehicle leaves parking stall, obtained vehicle and leave the time of parking stall, when exiting between more than threshold value T time, represent that vehicle is complete
Entirely leave parking stall.
In the present invention, by geomagnetism detecting method, it is possible to judge whether vehicle completes into position or go out position exactly, then
The information of vehicles collected when anticipation has into position or goes out trend is uploaded and preserved, it is ensured that vehicle management system is protected
The information of vehicles deposited is effective.
In the present invention, it is judged that after overlapping region exists vehicle, also include: preserve entering an information or going out position letter of vehicle
Breath.After judging that vehicle sails target parking stall or fully out target parking stall completely into, preservation is entered an information or goes out
Position information is updated.
The method that a kind of parking stall Parking determination methods embodiment 1 provided with above-mentioned the application provides is corresponding, please
With reference to Fig. 5, present invention also provides a kind of parking stall Parking and judge the structural representation of system embodiment 1, at the present embodiment
In, this system includes:
First acquiring unit 501, for obtaining moving vehicle movement locus in predetermined areas;
Determine and the first judging unit 502, for pre-seting when described movement locus shows that described moving vehicle has rolled
Parking stall line time, determine the position, first area that described moving vehicle is currently located;And judge that described moving vehicle is current
One movement tendency;
Second acquisition unit 503, for calling default background modeling algorithm, obtains in described predetermined areas each
The characteristic point quantity of moving target in parking stall, and the position, target area that in each parking stall, moving target is presently in;
Second judging unit 504, for according to the characteristic point quantity of moving target in each parking stall, it is judged that in each parking stall
The movement tendency that moving target is preset;
3rd judging unit 505, for when the position, target area and described first that there is moving target in each parking stall
Regional location has a region of coincidence, and the moving target corresponding with the position, target area that position, described first area coincides
When movement tendency is identical with the direction of motion of described first movement tendency, it is judged that whether the region of coincidence exists vehicle;
First represents unit 506, for when there is vehicle, described meter for vehicle being shown as target vehicle, and represents described
There is the movement tendency preset in target vehicle, wherein said default movement tendency includes into a trend and goes out a trend;
Detector unit 507, for after detecting that described target vehicle has default movement tendency, by geomagnetism detecting device
Detecting described target vehicle whether completely into target parking stall or roll target parking stall completely away from, described target parking stall is described heavy
Close the parking stall at moving target place described in region.
In the present invention, by should system, it is achieved that whether the vehicle in monitoring region is had three times into a trend pre-
Sentence, if the result of three anticipations all represents when vehicle has into position or goes out trend, mean that vehicle has into position or goes out position and become
Gesture, now vehicle management system just can be with the information of collection vehicle, after determining that vehicle has position or goes out a trend, recycling
The method of geomagnetism detecting confirms whether vehicle completes into position or go out position, and the most fully validated vehicle has entered position or gone out position
After, just upload the information of vehicles of parking stall.Solve in prior art, only by vehicle being carried out anticipation, and preserve invalid
The problem of information of vehicles.
On the basis of Fig. 5, a kind of parking stall Parking that the application provides judges the structural representation of system embodiment 2
Figure, as shown in Figure 6, particularly as follows:
First acquiring unit 501 includes:
First obtains subelement 508, for obtaining the video frame information in described predetermined areas;
Follow the tracks of subelement 509, be used for resolving described video frame information, obtain described moving region range of motion vehicle
Texture information, and according to described texture information, described moving vehicle is tracked;
Determine subelement 510, for analyzing the tracking result of described moving vehicle, obtain the motion rail of described moving vehicle
Mark.
Second judging unit 504 includes:
First judgment sub-unit 511, for judging that whether the quantity of described moving target characteristic point is more than first preset
Threshold value;
First represents subelement 512, for when more than described first threshold, represents the movement tendency of described moving target
For entering a trend;
Second judgment sub-unit 513, for judging that whether the quantity of described moving target characteristic point is more than second preset
Threshold value;
Second represents subelement 514, for when more than described Second Threshold, represents the movement tendency of described moving target
For going out a trend;And described first threshold is less than described Second Threshold.
Detector unit 507 includes:
Second obtains subelement 515, after local magnetic detector detects that described target vehicle enters target parking stall, obtains
Take the described target vehicle berthing time in described target parking stall;
3rd represents subelement 516, for when described berthing time is more than three threshold value preset, representing that vehicle is complete
Enter target parking stall;
3rd obtains subelement 517, after geomagnetism detecting device detects that described target vehicle rolls target parking stall away from, obtains
Described target vehicle leaves the time of described target parking stall;
4th represents subelement 518, for leaving time of described target parking stall more than presetting when described target vehicle
During four threshold values, represent that described target vehicle rolls described target parking stall completely away from.
This system also includes:
4th judging unit, for when described moving vehicle has rolled the parking stall line pre-seted, it is judged that the institute rolled
State the parking stall line that pre-sets whether in the non-pedestrian side of parking stall;
Second represents unit, if in non-pedestrian side, representing that described moving vehicle exists the first movement tendency.
In the present invention, it is the method by video monitoring, vehicle is entered position and goes out position and carry out anticipation, optimize photographic head and adjust
Degree, only just transfers camera focusing capture information of vehicles needs obtain information of vehicles when.And pass through geomagnetism detecting
Device, enters position and goes out position and be determined, uploading information of vehicles the most again, enhance the precision of detection vehicle.
Described above to the disclosed embodiments, makes professional and technical personnel in the field be capable of or uses the present invention.
Multiple amendment to these embodiments will be apparent from for those skilled in the art, as defined herein
General Principle can realize without departing from the spirit or scope of the present invention in other embodiments.Therefore, the present invention
It is not intended to be limited to the embodiments shown herein, and is to fit to and principles disclosed herein and features of novelty phase one
The widest scope caused.
Claims (10)
1. a parking stall Parking determination methods, it is characterised in that including:
Obtain moving vehicle movement locus in predetermined areas;
When described movement locus shows that described moving vehicle has rolled the parking stall line pre-seted, determine that described moving vehicle is current
The position, first area at place;And judge the first movement tendency that described moving vehicle is current;
Call default background modeling algorithm, obtain the feature of moving target in described predetermined areas each parking stall interior and count
Amount, and the position, target area that in each parking stall, moving target is presently in;
According to the characteristic point quantity of moving target in each parking stall, it is judged that the movement tendency that in each parking stall, moving target is preset;
A region overlapped is had with position, described first area when each parking stall exists the position, target area of moving target, and with
The movement tendency of the moving target that position, target area that position, described first area coincides is corresponding becomes with described first motion
When the direction of motion of gesture is identical, it is judged that whether the region of coincidence exists vehicle;
When there is vehicle, described meter for vehicle being shown as target vehicle, and shows that described target vehicle exists the motion preset and becomes
Gesture, wherein said default movement tendency includes into a trend and goes out a trend;
After detecting that described target vehicle has default movement tendency, whether detect described target vehicle by geomagnetism detecting device
Completely into target parking stall or roll target parking stall completely away from, described target parking stall is moving target described in described overlapping region
The parking stall at place.
Method the most according to claim 1, it is characterised in that described acquisition moving vehicle fortune in predetermined areas
Dynamic track, including:
Obtain the video frame information in described predetermined areas;
Resolve described video frame information, obtain the texture information of described moving region range of motion vehicle, and according to described stricture of vagina
Described moving vehicle is tracked by reason information;
Analyze the tracking result of described moving vehicle, obtain the movement locus of described moving vehicle.
Method the most according to claim 1, it is characterised in that described count according to the feature of moving target in each parking stall
Amount, it is judged that the movement tendency that in each parking stall, moving target is preset, including:
Judge that whether the quantity of described moving target characteristic point is more than the first threshold preset;
When more than described first threshold, represent that the movement tendency of described moving target is for entering a trend;
Judge that whether the quantity of described moving target characteristic point is more than the Second Threshold preset;
When more than described Second Threshold, represent that the movement tendency of described moving target is for going out a trend;And described first threshold
Value is less than described Second Threshold.
Method the most according to claim 1, it is characterised in that described when detecting that described target vehicle has default motion
After trend, detect described target vehicle whether completely into target parking stall or roll target carriage completely away from by geomagnetism detecting device
Position, described target parking stall is the region at moving target place described in described overlapping region, including:
After local magnetic detector detects that described target vehicle enters target parking stall, obtain described target vehicle in described target carriage
The berthing time of position;
When described berthing time is more than three threshold value preset, represent that vehicle is completely into target parking stall;
After geomagnetism detecting device detects that described target vehicle rolls target parking stall away from, obtain described target vehicle and leave described target carriage
The time of position;
When the time that described target vehicle leaves described target parking stall is more than four threshold value preset, represent described target vehicle
Roll described target parking stall completely away from.
Method the most according to claim 1, it is characterised in that the described moving vehicle of described judgement current first motion become
Also include before gesture:
When described moving vehicle has rolled the parking stall line pre-seted, it is judged that whether the parking stall line pre-seted described in having rolled exists
The non-pedestrian side of parking stall;
If in non-pedestrian side, represent that described moving vehicle exists the first movement tendency.
6. a parking stall Parking judges system, it is characterised in that including:
First acquiring unit, for obtaining moving vehicle movement locus in predetermined areas;
Determine and the first judging unit, for showing that described moving vehicle has rolled the parking stall line pre-seted when described movement locus
Time, determine the position, first area that described moving vehicle is currently located;And judge described moving vehicle current first motion become
Gesture;Second acquisition unit, for calling default background modeling algorithm, obtains in described predetermined areas each parking stall interior and transports
The characteristic point quantity of moving-target, and the position, target area that in each parking stall, moving target is presently in;
Second judging unit, for according to the characteristic point quantity of moving target in each parking stall, it is judged that motion mesh in each parking stall
The movement tendency that mark is preset;
3rd judging unit, for when position, target area and the position, described first area that there is moving target in each parking stall
There are the region of coincidence, and the movement tendency of the moving target corresponding with the position, target area that position, described first area coincides
Time identical with the direction of motion of described first movement tendency, it is judged that whether the region of coincidence exists vehicle;
First represents unit, for when there is vehicle, described meter for vehicle being shown as target vehicle, and represents described target vehicle
There is the movement tendency preset, wherein said default movement tendency includes into a trend and goes out a trend;
Detector unit, for after detecting that described target vehicle has default movement tendency, detects institute by geomagnetism detecting device
Stating target vehicle whether completely into target parking stall or roll target parking stall completely away from, described target parking stall is described overlapping region
Described in the parking stall at moving target place.
System the most according to claim 6, it is characterised in that described first acquiring unit includes:
First obtains subelement, for obtaining the video frame information in described predetermined areas;
Follow the tracks of subelement, be used for resolving described video frame information, obtain the texture letter of described moving region range of motion vehicle
Breath, and according to described texture information, described moving vehicle is tracked;
Determine subelement, for analyzing the tracking result of described moving vehicle, obtain the movement locus of described moving vehicle.
System the most according to claim 6, it is characterised in that described second judging unit includes:
First judgment sub-unit, for judging that whether the quantity of described moving target characteristic point is more than the first threshold preset;
First represents subelement, for when more than described first threshold, represents that the movement tendency of described moving target is for entering position
Trend;
Second judgment sub-unit, for judging that whether the quantity of described moving target characteristic point is more than the Second Threshold preset;
Second represents subelement, for when more than described Second Threshold, represents that the movement tendency of described moving target is for going out position
Trend;And described first threshold is less than described Second Threshold.
System the most according to claim 6, it is characterised in that described detector unit includes:
Second obtains subelement, after local magnetic detector detects that described target vehicle enters target parking stall, obtains described
Target vehicle is at the berthing time of described target parking stall;
3rd represents subelement, for when described berthing time is more than three threshold value preset, represents that vehicle is completely into mesh
Mark parking stall;
3rd obtains subelement, after geomagnetism detecting device detects that described target vehicle rolls target parking stall away from, obtains described mesh
Mark vehicle leaves the time of described target parking stall;
4th represents subelement, for leaving the time of described target parking stall when described target vehicle more than the 4th threshold value preset
Time, represent that described target vehicle rolls described target parking stall completely away from.
System the most according to claim 6, it is characterised in that also include:
4th judging unit, for when described moving vehicle has rolled the parking stall line pre-seted, it is judged that has rolled is described pre-
Whether the parking stall line arranged is in the non-pedestrian side of parking stall;
Second represents unit, if in non-pedestrian side, representing that described moving vehicle exists the first movement tendency.
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Cited By (27)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106530818A (en) * | 2016-12-30 | 2017-03-22 | 北京航空航天大学 | Intelligent parking lot management system based on video processing technology |
CN106652551A (en) * | 2016-12-16 | 2017-05-10 | 浙江宇视科技有限公司 | Parking stall detection method and device |
CN106952477A (en) * | 2017-04-26 | 2017-07-14 | 智慧互通科技有限公司 | Roadside Parking management method based on polyphaser image Combined Treatment |
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CN110008906A (en) * | 2019-04-09 | 2019-07-12 | 北京马尔马拉科技有限公司 | Aircraft berth detection method |
CN110322681A (en) * | 2018-03-30 | 2019-10-11 | 杭州海康威视数字技术股份有限公司 | The method and apparatus for detecting parking space state |
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Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH06318299A (en) * | 1993-05-06 | 1994-11-15 | Sumitomo Electric Ind Ltd | Method for monitoring idle space in parking lot |
JP2006012178A (en) * | 2005-07-15 | 2006-01-12 | Natl Inst For Land & Infrastructure Management Mlit | Method and system for detecting parking vehicle |
WO2009060651A1 (en) * | 2007-11-08 | 2009-05-14 | Sankyo Electric Co., Ltd. | Vehicle detection method, vehicle detection unit, and vehicle detection device |
JP2010271876A (en) * | 2009-05-20 | 2010-12-02 | Seiko Precision Inc | Traveling object tracking device, traveling object tracking method, and program |
CN103544848A (en) * | 2013-09-29 | 2014-01-29 | 郑侃 | Method and device for judging parking space states on basis of geomagnetic detection for multiple parking spaces |
CN103903451A (en) * | 2014-04-23 | 2014-07-02 | 武汉恒达智慧城市交通研发有限公司 | System and method for snapshooting vehicles which come in and out of parking place on road parking spaces |
CN103971521A (en) * | 2014-05-19 | 2014-08-06 | 清华大学 | Method and device for detecting road traffic abnormal events in real time |
CN104376741A (en) * | 2014-12-02 | 2015-02-25 | 深圳市捷顺科技实业股份有限公司 | Parking lot state detection method and system |
CN104732799A (en) * | 2013-12-24 | 2015-06-24 | 感知技术无锡有限公司 | Parking spot state detection method and device |
CN104966045A (en) * | 2015-04-02 | 2015-10-07 | 北京天睿空间科技有限公司 | Video-based airplane entry-departure parking lot automatic detection method |
CN204791194U (en) * | 2015-06-26 | 2015-11-18 | 武汉科源机电设备有限公司 | Metered system of unmanned on duty curb parking based on video analysis |
CN105390021A (en) * | 2015-11-16 | 2016-03-09 | 北京蓝卡科技股份有限公司 | Parking spot state detection method and parking spot state detection device |
-
2016
- 2016-07-18 CN CN201610566390.8A patent/CN106228835B/en active Active
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH06318299A (en) * | 1993-05-06 | 1994-11-15 | Sumitomo Electric Ind Ltd | Method for monitoring idle space in parking lot |
JP2006012178A (en) * | 2005-07-15 | 2006-01-12 | Natl Inst For Land & Infrastructure Management Mlit | Method and system for detecting parking vehicle |
WO2009060651A1 (en) * | 2007-11-08 | 2009-05-14 | Sankyo Electric Co., Ltd. | Vehicle detection method, vehicle detection unit, and vehicle detection device |
JP2010271876A (en) * | 2009-05-20 | 2010-12-02 | Seiko Precision Inc | Traveling object tracking device, traveling object tracking method, and program |
CN103544848A (en) * | 2013-09-29 | 2014-01-29 | 郑侃 | Method and device for judging parking space states on basis of geomagnetic detection for multiple parking spaces |
CN104732799A (en) * | 2013-12-24 | 2015-06-24 | 感知技术无锡有限公司 | Parking spot state detection method and device |
CN103903451A (en) * | 2014-04-23 | 2014-07-02 | 武汉恒达智慧城市交通研发有限公司 | System and method for snapshooting vehicles which come in and out of parking place on road parking spaces |
CN103971521A (en) * | 2014-05-19 | 2014-08-06 | 清华大学 | Method and device for detecting road traffic abnormal events in real time |
CN104376741A (en) * | 2014-12-02 | 2015-02-25 | 深圳市捷顺科技实业股份有限公司 | Parking lot state detection method and system |
CN104966045A (en) * | 2015-04-02 | 2015-10-07 | 北京天睿空间科技有限公司 | Video-based airplane entry-departure parking lot automatic detection method |
CN204791194U (en) * | 2015-06-26 | 2015-11-18 | 武汉科源机电设备有限公司 | Metered system of unmanned on duty curb parking based on video analysis |
CN105390021A (en) * | 2015-11-16 | 2016-03-09 | 北京蓝卡科技股份有限公司 | Parking spot state detection method and parking spot state detection device |
Non-Patent Citations (1)
Title |
---|
蒋大林: "基于视频图像的多特征车位检测算法", 《北京工业大学学报》 * |
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