CN108711283A - The night monitoring to park cars - Google Patents
The night monitoring to park cars Download PDFInfo
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- CN108711283A CN108711283A CN201810334650.8A CN201810334650A CN108711283A CN 108711283 A CN108711283 A CN 108711283A CN 201810334650 A CN201810334650 A CN 201810334650A CN 108711283 A CN108711283 A CN 108711283A
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- night
- moving vehicle
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- parking stall
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Abstract
The present invention proposes a kind of night detection system to park cars.It is illuminated and is detected using the car light of passing cars and parked cars.Moving vehicle sensor perceives the moving vehicle near the parking area.After moving vehicle sensor perceives an at least moving vehicle, camera shoots the photo of the parking area.
Description
Technical field
The present invention relates to electronic fields, more precisely, being related to the monitoring to parking stall.
Background technology
Drivers often feel put about because can not find parking stall.The process wastes time on parking stall is found, combustion is increased
Oil consumption has negative effect to environment.In order to energy saving, and environmental quality is improved, there is an urgent need to develop a kind of parking stall prisons
Examining system, it can monitor the occupancy situation on parking stall in real time.After obtaining parking bit occupancy data, driver can promptly exist
Nearby find parking stall in destination.
Parking stall law enforcement is an important component of city management.Existing parking stall enforcement system is to pass through parking
Law enfrocement official carries out permanent patrol to realize to parking street and parking lot.This patrol pattern needs to consume a large amount of manpowers
Material resources.In order to avoid this waste, it is desirable to monitor in each parking stall of systematic survey to be stopped using above-mentioned parking stall
Down time.
Parking stall monitors and parking stall law enforcement is required to detect and park cars.Park cars detection preferably on daytime and
Night can implement.Such as shopping centre is more focused on daytime observation, residential quarter is more focused on night detection.Due to previous skill
Art is illuminated using available light, they can only monitor parking stall state in the daytime.At night, due to street lamp cannot provide can
The illumination leaned on(There are tree or other barrier obstructions), conventional art be difficult to night monitor parking stall state.
Invention content
The main object of the present invention is energy saving, and improves environmental quality.
It is another object of the present invention to realize that parking at night position monitors automatically.
It is another object of the present invention to realize that parking at night position is enforced the law automatically.
According to these and other purpose, the present invention proposes a kind of parking at night position monitoring device.It night by with
The track of track car light determines the change of parking stall state.The equipment contains a camera, a memory and a processor.Camera shooting
The shooting at night frequency of head is higher than in the daytime.Night ROI(Region of interest carry out image to the photo on the parking stall
The region of processing)Also different from ROI in the daytime.Night ROI is not static, it is moved together with vehicle.When the image in shooting
In search a car light after, the position of the car light is recorded;The track of car light can be tracked from a series of images.Such as
The displacement of fruit car light track is more than a threshold value, or direction occurs and changes, then the parking stall state changes.
This method can be with another application of the present inventor《The night detection to park cars》Combine.This method is at night
Between tracking car light track detect the variation of parking stall state, and《The night detection to park cars》The method of middle disclosure utilizes road
Cross the state on the car light direct detection parking stall of vehicle.After two methods combine, the effect of parking stall night monitoring will
It is relatively reliable.
Description of the drawings
Fig. 1 is a kind of block diagram of parking at night position monitoring device.
Fig. 2 is a kind of flow chart of screening-mode conversion.
Fig. 3 is a kind of flow chart of parking at night position monitoring.
Fig. 4 shows a kind of ROI in the daytime to park cars(Conventional art).
Fig. 5 A show a kind of night ROI to park cars;Fig. 5 B show the ROI after vehicle movement.
Fig. 6 A- Fig. 6 B indicate that two kinds indicate the car light track that parking stall state changes.
It is noted that these attached drawings are only synoptic diagrams, their nots to scale (NTS) are drawn.For the sake of obvious and is convenient, in figure
Portion size and structure may zoom in or out.In different embodiments, identical symbol typicallys represent corresponding or similar
Structure.
Specific implementation mode
Fig. 1 is a kind of block diagram of parking stall monitoring device 80;Fig. 2 is a kind of flow chart of screening-mode conversion.Parking stall
Monitoring device 80 contains a vehicle motion sensor 82, camera 84, processor 86 and memory 88.Vehicle motion sensor 82
Perceive the movement of vehicle near parking area(Step 110).It can be acoustic sensor, optical sensor or electromagnetic sensor
Deng:Acoustic sensor monitors sound variation caused by moving vehicle near parking area;It is attached that optical sensor perceives parking area
Light intensity variation caused by nearly moving vehicle;Electromagnetic sensor detects moving vehicle near parking area using modes such as antennas and draws
The electromagnetic field variation risen.When vehicle motion sensor 82 perceives vehicle movement, camera 84 shoots photo(Step 120);It is no
Then camera 84 can not shoot photo(Step 130).Memory 88 stores the photograph that night monitoring algorithm 85 and camera 84 are shot
Piece 87.The photo 87 of the processing shooting of processor 86 is to obtain parking stall state(It has accounted for or has not accounted for).
Fig. 3 is a kind of flow chart of parking at night position monitoring.Camera 84 shoots the photo of parking area(Step 210).
The shooting at night frequency of camera 84 is more than in the daytime.The night ROI on parking stall is different from ROI in the daytime(Step 220, referring to Fig. 4 and
Fig. 5 A- Fig. 5 B).Once finding car light in night ROI(Step 230), track is recorded from a series of photos(Step
240).If the track meets a preset condition(Step 250, referring to Fig. 6 A- Fig. 6 B), parking stall state is flagged as changing
(Step 260), otherwise do not change(Step 270).
Fig. 4 show it is a kind of park cars 40 60 ROI in the daytime.Vehicle is parked in parking stall 10a along curbside 10.From parking
Exposure boundary " ab " in the 10a images of position is scanned up more than side window to form 60 ROI in the daytime of parking stall 10a.By from day
Between extraction vehicle body lower edge and/or side window lower edge in ROI 60, detect and park cars in the 10a of parking stall.
Fig. 5 A show it is a kind of park cars 40 the night ROI 70 in time t1.Night ROI 70 and 60 ROI in the daytime
It is different.Night ROI 70 cover park cars 40 taillight 77, it can also also cover the head lamp etc. to park cars.At night,
The vehicle characteristics preferably extracted are exactly car light 77(Including taillight and head lamp).The most bright pixel of taillight is marked as tail in fig. 5
Lamp core(Point 1), it is used for marking the position of taillight.
Fig. 5 B show the ROI 70* after vehicle 40* movements(In time t2).Fig. 5 B are shot after fig. 5 A.Once vehicle
40 move distance d(Herein by 40 reversed parking stall 10a of vehicle).Taillight core is also moved to a little 2 from point 1.In the implementation
In example, night ROI 70* is not static, it is moved together with vehicle 40*.Particularly, in time t1, in night ROI 70
In detect taillight 77;In time t2, the taillight 77* moved is detected in night ROI 70;At this moment calculate taillight 77* and
Then night ROI 70 is also adjusted corresponding displacement and forms new night ROI 70* by the displacement between 77.In this way, taillight 77
Position remains constant in night ROI 70.Mobile ROI can be in order to tracking taillight 77.
After searching a car light in the image in shooting, the position of the car light is recorded;It can from a series of images
To track the track of car light.If the displacement of car light track is more than a threshold value, or occurs direction and changes, then the parking stall state
It changes.
Fig. 6 A- Fig. 6 B indicate that two kinds indicate the car light track that parking stall state changes.In fig. 6, taillight core 77 is in 7 width
In photo a little 7 are moved on to from point 1.Wherein, point 1 to point 5, point 5 to point 7 displacements be straight line, and point 5 displacements change direction.This
The feature of track represents vehicle and is outputed from parking stall.Since the track of taillight 77 changes direction, the state on the parking stall changes
Become not accounting for.In fig. 6b, taillight core 77 moves on to a little 5 in 5 photos from point 1.The feature of this track represents vehicle parking
Into parking stall.Once the trajectory displacement of taillight 77 is more than a threshold value, the state on the parking stall, which is changed into, have been accounted for.
It should be appreciated that under the premise of not far from the spirit and scope of the present invention, it can be to the form and details of the present invention
It is modified, this does not interfere the spirit of their application present invention.Therefore, in addition to the spirit according to appended claims,
The present invention does not answer any way limited.
Claims (10)
1. a kind of night detecting devices (80) to park cars, it is characterised in that contain:
Whether one moving vehicle sensor (82), the moving vehicle sensor (82) perception have a movement near a parking area
Vehicle;
One camera (84), when the moving vehicle sensor (82) perceives the moving vehicle, which shoots this and stops
The photo in vehicle region.
2. equipment according to claim 1, it is further characterized in that:The moving vehicle sensor (82) contains an acoustics sensor
At least one of device, an optical sensor or an electromagnetic sensor.
3. equipment according to claim 1, it is further characterized in that:The camera (84) is more than day in the frequency of shooting at night
Between the frequency that shoots.
4. equipment according to claim 1, it is further characterized in that:One memory (88) stores probe algorithm in one night
(85)。
5. equipment according to claim 1, it is further characterized in that:One memory (88) stores an at least parking area photo
(87)。
6. a kind of night detection method to park cars, it is characterised in that containing having the following steps:
A)(Step 110)Whether the perception of one moving vehicle sensor (82) has a moving vehicle near a parking area;
B)(Step 120)When the moving vehicle sensor (82) perceives the moving vehicle, a camera (84) shoots the parking
The photo in region;
C)(Step 130)When the moving vehicle sensor (82) does not perceive the moving vehicle, which does not shoot photograph
Piece.
7. according to the method described in claim 6, it is further characterized in that:The moving vehicle sensor (82) contains an acoustics sensor
At least one of device, an optical sensor or an electromagnetic sensor.
8. according to the method described in claim 6, it is further characterized in that:The camera (84) is more than day in the frequency of shooting at night
Between the frequency that shoots.
9. according to the method described in claim 6, it is further characterized in that:One memory (85) stores probe algorithm in one night
(85)。
10. according to the method described in claim 6, it is further characterized in that:One memory (85) stores an at least parking area and shines
Piece (87).
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810334650.8A CN108711283A (en) | 2015-02-10 | 2015-02-10 | The night monitoring to park cars |
US16/044,753 US10464479B2 (en) | 2015-03-03 | 2018-07-25 | Night detection of front-parked vehicles |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510068237.8A CN105989740A (en) | 2015-02-10 | 2015-02-10 | Night parking monitor |
CN201810334650.8A CN108711283A (en) | 2015-02-10 | 2015-02-10 | The night monitoring to park cars |
Related Parent Applications (1)
Application Number | Title | Priority Date | Filing Date |
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CN201510068237.8A Division CN105989740A (en) | 2015-02-10 | 2015-02-10 | Night parking monitor |
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CN108711283A true CN108711283A (en) | 2018-10-26 |
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Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
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CN201510068237.8A Pending CN105989740A (en) | 2015-02-10 | 2015-02-10 | Night parking monitor |
CN201810334650.8A Pending CN108711283A (en) | 2015-02-10 | 2015-02-10 | The night monitoring to park cars |
Family Applications Before (1)
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CN201510068237.8A Pending CN105989740A (en) | 2015-02-10 | 2015-02-10 | Night parking monitor |
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Families Citing this family (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105989743A (en) * | 2015-02-13 | 2016-10-05 | 杭州海存信息技术有限公司 | Nighttime detection for parking vehicles |
CN109147347A (en) * | 2017-06-19 | 2019-01-04 | 成都海存艾匹科技有限公司 | Parallel parking the night detection of vehicle |
DE102017204180B3 (en) * | 2017-03-14 | 2018-08-02 | Audi Ag | Method for determining and / or managing a parking ticket |
CN108665700B (en) * | 2017-03-31 | 2020-11-27 | 杭州海康威视数字技术股份有限公司 | Method and device for detecting lateral parking state |
CN111383460B (en) * | 2020-06-01 | 2020-09-18 | 浙江大华技术股份有限公司 | Vehicle state discrimination method and device and computer storage medium |
Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1794312A (en) * | 2005-11-25 | 2006-06-28 | 北京工业大学 | Video frequency car position detector and its detecting method |
CN101382997A (en) * | 2008-06-13 | 2009-03-11 | 青岛海信电子产业控股股份有限公司 | Vehicle detecting and tracking method and device at night |
CN101739827A (en) * | 2009-11-24 | 2010-06-16 | 北京中星微电子有限公司 | Vehicle detecting and tracking method and device |
CN201804451U (en) * | 2010-09-15 | 2011-04-20 | 深圳市方格尔科技有限公司 | Roadside parking spot information acquisition system |
CN102426801A (en) * | 2011-12-12 | 2012-04-25 | 天津世纪晨实科技有限公司 | Automatic parking lot berth management method and system based on visual analysis |
DE102011080928A1 (en) * | 2011-08-12 | 2013-02-14 | Robert Bosch Gmbh | Method for assisting driver of motor vehicle e.g. car for planned lane change adjacent to vehicle track, involves determining whether object is driven in adjacent track and issuing warning to driver, when object is on adjacent track |
CN202917018U (en) * | 2012-11-28 | 2013-05-01 | 重庆电子工程职业学院 | Garage parking intelligent guidance system |
CN103208185A (en) * | 2013-03-19 | 2013-07-17 | 东南大学 | Method and system for nighttime vehicle detection on basis of vehicle light identification |
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 |
CN104244507A (en) * | 2014-04-10 | 2014-12-24 | 上海复米信息科技有限公司 | Intelligent parking lot with induction lamp |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101727748B (en) * | 2009-11-30 | 2014-09-10 | 北京中星微电子有限公司 | Method, system and equipment for monitoring vehicles based on vehicle taillight detection |
CN102915638A (en) * | 2012-10-07 | 2013-02-06 | 复旦大学 | Surveillance video-based intelligent parking lot management system |
KR101372171B1 (en) * | 2012-10-11 | 2014-03-07 | 현대자동차주식회사 | Apparatus and method for determining parking area |
-
2015
- 2015-02-10 CN CN201510068237.8A patent/CN105989740A/en active Pending
- 2015-02-10 CN CN201810334650.8A patent/CN108711283A/en active Pending
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1794312A (en) * | 2005-11-25 | 2006-06-28 | 北京工业大学 | Video frequency car position detector and its detecting method |
CN101382997A (en) * | 2008-06-13 | 2009-03-11 | 青岛海信电子产业控股股份有限公司 | Vehicle detecting and tracking method and device at night |
CN101739827A (en) * | 2009-11-24 | 2010-06-16 | 北京中星微电子有限公司 | Vehicle detecting and tracking method and device |
CN201804451U (en) * | 2010-09-15 | 2011-04-20 | 深圳市方格尔科技有限公司 | Roadside parking spot information acquisition system |
DE102011080928A1 (en) * | 2011-08-12 | 2013-02-14 | Robert Bosch Gmbh | Method for assisting driver of motor vehicle e.g. car for planned lane change adjacent to vehicle track, involves determining whether object is driven in adjacent track and issuing warning to driver, when object is on adjacent track |
CN102426801A (en) * | 2011-12-12 | 2012-04-25 | 天津世纪晨实科技有限公司 | Automatic parking lot berth management method and system based on visual analysis |
CN202917018U (en) * | 2012-11-28 | 2013-05-01 | 重庆电子工程职业学院 | Garage parking intelligent guidance system |
CN103208185A (en) * | 2013-03-19 | 2013-07-17 | 东南大学 | Method and system for nighttime vehicle detection on basis of vehicle light identification |
CN104244507A (en) * | 2014-04-10 | 2014-12-24 | 上海复米信息科技有限公司 | Intelligent parking lot with induction lamp |
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 |
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Application publication date: 20181026 |