CN108022431A - A kind of method and system that parking stall is detected by video capture image - Google Patents
A kind of method and system that parking stall is detected by video capture image Download PDFInfo
- Publication number
- CN108022431A CN108022431A CN201711260406.3A CN201711260406A CN108022431A CN 108022431 A CN108022431 A CN 108022431A CN 201711260406 A CN201711260406 A CN 201711260406A CN 108022431 A CN108022431 A CN 108022431A
- Authority
- CN
- China
- Prior art keywords
- image
- parking stall
- current
- detected
- video capture
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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
- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Theoretical Computer Science (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
Abstract
The invention discloses a kind of method and system that parking stall is detected by video capture image, are installed for solving existing parking stall measure mode, maintenance cost height, the problem of easily interference be subject to site factors.This method includes:S1:Default parking stall image information is obtained, image conversion processing is carried out, as template image;S2:The image information of current parking stall is gathered, is handled by described image, obtains the current vehicle bit image and the gray average of the template image and the difference of standard deviation, judges whether the difference is more than predetermined threshold value;S3:If so, then obtaining the contour area data message in the current vehicle bit image, judge whether the contour area is less than preset area;S4:If so, then using the current parking stall as empty parking space.Using the present invention, by gathering the bit image that stops, can quickly identify current parking stall whether vacancy, while also reduce cost, disturbed from place.
Description
Technical field
The present invention relates to parking stall measure field, more particularly to a kind of the method for parking stall is detected by video capture image and is
System.
Background technology
As economic development is rapid, the living standard of people is continuously improved, and more and more people are ready to use motor vehicle
Trip, is ridden instead of walk by motor vehicle, is not only facilitated but also is saved time, but as motor vehicle constantly increases, urban transportation becomes congestion,
In the more place of some stream of peoples, big problem that parking difficulty is also run into car owner, car owner often sometimes needs to spend big
Measure the time and find parking stall, stop, reduce the car experience of people, waste many time.
At present, whether also many parking lots are fitted with parking stall measure system on the market, can detect current empty parking space
Stop, general detection mode includes geomagnetic induction coil sensing, ultrasonic sensing, detections of radar etc., but these detection modes
It is required for carrying out construction and installation sensing apparatus on parking stall, is easily disturbed by site factors, installation cost and maintenance cost is very
Height, also has a great impact the place of surrounding, such as the installation of ground induction coil just needs to destroy road surface, while maintenance can also be broken
Bad road surface, causes big inconvenience, influences the circulation of vehicle.
The patent of Publication No. CN106781664A discloses method for detecting parking stalls and device, and this method includes:Using setting
Put the ground magnetic value on the geomagnetic sensor cycle detection parking stall on parking stall;Judge the change for the ground magnetic value that continuous several times detect
Whether situation meets preset condition;If the change for the ground magnetic value that continuous several times detect meets preset condition, using setting parking stall
On infrared distance sensor detection parking stall on infrared distance value between object and infrared distance sensor;Utilize continuous several times
The situation of change of the ground magnetic value detected and infrared distance value determine the parking space state of parking stall.The invention passes through geomagnetic sensor
The ground magnetic value on parking stall is detected, improves the accuracy of testing result, but increases cost of installation and maintenance, is subject to field around
The interference of ground factor.
The content of the invention
The technical problem to be solved in the present invention purpose is to provide a kind of method for detecting parking stall by video capture image
And system, existing parking stall measure mode is installed and maintenance cost is high solving, the problem of interference by site factors.
To achieve these goals, the technical solution adopted by the present invention is:
A kind of method that parking stall is detected by video capture image, including step:
S1:Default parking stall image information is obtained, image conversion processing is carried out, as template image;
S2:The image information of current parking stall is gathered, is handled by described image, obtains the current vehicle bit image and institute
The gray average of template image and the difference of standard deviation are stated, judges whether the difference is more than predetermined threshold value;
S3:If so, then obtaining the contour area data message in the current vehicle bit image, judge that the contour area is
It is no to be less than preset area;
S4:If so, then using the current parking stall as empty parking space.
Further, the step S1 further includes step:
The default parking stall image is converted into single channel gray level image, and carries out medium filtering noise reduction process to obtain
State the gradation of image average and standard deviation of default parking stall image.
Further, the step S2 further includes step:
Preset time period is set, judges whether the difference in the preset time period is more than predetermined threshold value, if so, then
Go to step S3.
Further, the step S3 further includes step:
The image of the current parking stall is carried out to the binary conversion treatment of adaptive threshold, to be converted to black white image;
The contour area of the black white image is calculated, is contrasted with preset area threshold value.
Further, step is further included:
The parking stall is marked, when the current parking stall is empty parking space, the label information is shown.
A kind of system that parking stall is detected by video capture image, including:
Default parking stall processing module:For obtaining default parking stall image information, image conversion processing is carried out, as Prototype drawing
Picture;
Image difference contrast module:For gathering the image information of current parking stall, handled by described image, obtain institute
The gray average of current vehicle bit image and the template image and the difference of standard deviation are stated, it is default to judge whether the difference is more than
Threshold value;
Contour area contrast module:For when the difference is more than predetermined threshold value, then obtaining the current vehicle bit image
In contour area data message, judge whether the contour area is less than preset area;
State confirmation module:For when the contour area is less than the preset area, then the current parking stall being made
For empty parking space.
Further, the default parking stall processing module further includes:
Image processing unit:For the default parking stall image to be converted to single channel gray level image, and carry out intermediate value filter
Ripple noise reduction process is to obtain the gradation of image average and standard deviation of the default parking stall image.
Further, described image difference contrast module further includes:
Period detection unit:For setting preset time period, judge whether is the difference in the preset time period
More than predetermined threshold value, if so, then going to contour area contrast module.
Further, the contour area contrast module further includes:
Black and white converting unit:For the image of the current parking stall to be carried out to the binary conversion treatment of adaptive threshold, to turn
It is changed to black white image;
Areal calculation unit:For calculating the contour area of the black white image, contrasted with preset area threshold value.
Further, further include:
Parking stall mark module:For the parking stall to be marked, when the current parking stall is empty parking space, by the mark
Note presentation of information comes out.
Using the present invention, the existing monitoring device in parking lot can be utilized, obtains the image information of current parking stall, so that
Determine whether empty parking space, reduce installation and maintenance cost, also can fast and accurately detect the state feelings of current parking stall
Condition.
Brief description of the drawings
Fig. 1 is a kind of method flow diagram that parking stall is detected by video capture image provided by the invention;
Fig. 2 is a kind of system construction drawing that parking stall is detected by video capture image provided by the invention;
Fig. 3 is another method flow diagram that parking stall is detected by video capture image provided by the invention;
Fig. 4 is another system construction drawing that parking stall is detected by video capture image provided by the invention.
Embodiment
It is the specific embodiment of the present invention and with reference to attached drawing below, technical scheme is further described,
But the present invention is not limited to these embodiments.
Embodiment one
A kind of method that parking stall is detected by video capture image is present embodiments provided, as shown in Figure 1, including step:
S11:Default parking stall image information is obtained, image conversion processing is carried out, as template image;
S12:Gather the image information of current parking stall, handled by described image, obtain the current vehicle bit image with
The gray average of the template image and the difference of standard deviation, judge whether the difference is more than predetermined threshold value;
S13:If so, then obtaining the contour area data message in the current vehicle bit image, the contour area is judged
Whether preset area is less than;
S14:If so, then using the current parking stall as empty parking space.
In the present embodiment, the image information of parking position can be obtained by existing monitoring device in parking lot, dropped
The low installation cost of equipment.
It is the parking stall image under parking position idle condition that parking stall image information is preset in the present embodiment, in step S11,
When the parking stall quantity in parking lot is more, image information during all parking stall idle conditions is recorded, me is used for each parking stall
Primary numeral is marked in order to distinguish each parking stall.
Carrying out image conversion processing to default parking stall image in the present embodiment, in step S11 includes turning default parking stall image
Single channel gray-scale map is changed to, gray-scale map is the image represented with gray scale, many in addition to common satellite image, aerial photograph
Geophysical observatory data are also represented with gray scale, then the medium filtering noise reduction process that template is 3 is carried out to gray-scale map, obtain template
Image.
In the present embodiment, step S11 further includes step S111, when there are multiple parking stalls in parking lot, each car of manual record
The coordinate of position, using the image of each parking stall in these coordinates interception step S11, records the image during free time of n-th parking stall
The average value Xn of gray scale, standard deviation Yn.
In the present embodiment, the image information of the current parking stall of step S12 can be obtained by monitoring camera, real to parking stall
When the image that monitors also carry out the image conversion processing same with step S11, then to the parking stall image after these image procossings
Screened, screening step is as follows:
(1) differences of the between the image intensity value and Xn of sometime n-th parking stall is more than predetermined threshold value, and this
When standard deviation also greater than Yn, then record this time Tn.
(2) sets the stand-by period as 3S, if within the stand-by period, the gray scale of this parking stall is changed into ineligible (1)
Condition, then empty record the time, travel through all parking stalls, filter out eligible (1), the parking stall of (2).
In the present embodiment, step S13 is the contour area data message obtained in the current vehicle bit image, described in judgement
Whether contour area is less than preset area.
Specifically,
Parking stall image after being screened by step S12, further includes step S131 before step S13, to parking stall figure
As carrying out binary conversion treatment, whole image is set to be changed into black white image, the part of black indicates object, white part phase therewith
Instead.The contour area of black object is calculated, is contrasted with preset area, preset area could be provided as the percentage of the parking stall gross area
60 or so, when contour area is more than preset area, represent that vehicle is parked in current parking stall, when less than preset area, i.e.,
It can determine that for the parking stall be empty parking space.
In the present embodiment, step S14 is using the current parking stall as empty parking space.
Specifically,
After judgement by step S13, if by decision condition, which is at this time open position, by this parking stall
Digital ID is shown, draws testing result.
The present embodiment also provides a kind of system that parking stall is detected by video capture image, as shown in Fig. 2, including:
Default parking stall processing module 21:For obtaining default parking stall image information, image conversion processing is carried out, as Prototype drawing
Picture;
Image difference contrast module 22:For gathering the image information of current parking stall, handled, obtained by described image
The current vehicle bit image and the gray average of the template image and the difference of standard deviation, it is pre- to judge whether the difference is more than
If threshold value;
Contour area contrast module 23:For when the difference is more than predetermined threshold value, then obtaining the current vehicle bitmap
Contour area data message as in, judges whether the contour area is less than preset area;
State confirmation module 24:For when the contour area is less than the preset area, then by the current parking stall
As empty parking space.
In the present embodiment, in order to save installation cost, it can directly pass through the figure of the first-class acquisition parking position of monitoring camera
As information, can also other additionally mounted picture pick-up devices obtain the real-time image information of parking position.
In the present embodiment, empty parking space represents current parking stall vacancy, the contour of object for not stopping or currently being parked in parking stall
Area is less than preset area.
In the present embodiment, default parking stall processing module 21 further includes the processing unit with image processing function, for connecing
Receive the image information that default parking stall processing module 21 is sent, and carry out gradation conversion and medium filtering noise reduction that passage is 3 at
Reason, the gray average and standard deviation of the image after calculating processing.
In the present embodiment, image difference contrast module 22 is connected with image processing unit, and the parking stall collected is schemed in real time
After being sent to the above-mentioned same processing of image processing unit progress as information, gray average and standard deviation are contrasted, for judging
The image of current parking stall whether with the image during vacancy of parking stall there are larger difference, do not terminate in by calculate contrast gray average and
Standard deviation, can also determine whether image occurs more significant change by other way of contrast.
Image difference contrast module 22 further includes a timing unit in the present embodiment, for setting interval, citing
Time interval is arranged to 3 seconds, by judging the real-time image information of current parking stall within 3 seconds, if meeting image in 3 seconds
Condition in difference contrast module 22, the image information of above-mentioned parking stall is sent to contour area contrast module 23.
In the present embodiment, contour area contrast module 23 further includes:
Black and white converting unit, for the image of the current parking stall to be carried out to the binary conversion treatment of adaptive threshold, to turn
It is changed to black white image;
Areal calculation unit, for calculating the contour area of the black white image, is contrasted with preset area threshold value.
In the present embodiment, default parking stall processing module 21 further includes:
Storage unit, for preserving template image, is contrasted as the realtime graphic with parking stall, judges whether to show
Write change.
View data computing unit, for calculating gray average and standard deviation after image conversion treats.
In the present embodiment, state confirmation module 24 is used to receive last judgement as a result, the image of current parking stall meets institute
During some conditions, which is determined as empty parking space, represents that the parking stall is open position currently without vehicle parking.
In the present embodiment, state confirmation module 24 further includes:
Display unit, for the positional information of the status information of current parking stall and parking stall to be shown.
The real-time image information of parking stall is gathered by picture pick-up device, is contrasted with image during empty parking space, can be quick
Accurately detect the state of current parking stall, while also save the installation cost and maintenance cost of detection device.
Embodiment two
Another method that parking stall is detected by video capture image is present embodiments provided, as shown in figure 3, including step
Suddenly:
S31:Default parking stall image information is obtained, image conversion processing is carried out, as template image;
S32:The default parking stall image is converted into single channel gray level image, and carries out medium filtering noise reduction process to obtain
Take the gradation of image average and standard deviation of the default parking stall image;
S33:Gather the image information of current parking stall, handled by described image, obtain the current vehicle bit image with
The gray average of the template image and the difference of standard deviation, judge whether the difference is more than predetermined threshold value;
S34:Preset time period is set, judges whether the difference in the preset time period is more than predetermined threshold value, if
It is then to go in next step;
S35:If so, then obtaining the contour area data message in the current vehicle bit image, the contour area is judged
Whether preset area is less than;
S36:The parking stall is marked, when the current parking stall is empty parking space, the label information is shown
Come.
The present embodiment is with one difference of embodiment, further includes step S32, step S34, step S36.
Preset that parking stall image is idle for the parking stall in parking lot in the present embodiment, in step S32, figure during without vehicle parking
Picture, obtains gray level image, gradation conversion is usually used in medical image and remote sensing images, similar to artwork master by gradation conversion
Picture.Noise reduction is filtered to gray level image again, calculates the gray average and standard deviation of image, it is used for and parking stall figure afterwards
As being contrasted, judge whether parking stall has stopped vehicle.
In the present embodiment, the preset time period in step S34 is a customized time span, if in the period
The interior condition that can meet in step S33, enters back into next step, and the default of period can be set by delay procedure etc.
Put.
In the present embodiment, empty parking space state when the state of parking stall can include no vehicle parking in step S36, have car
Stop resting state.For parking lot, each parking stall have letter of Arabic numerals or other forms etc. into
Line flag, when having detected empty parking space, then issues out by the positional information of the parking stall.
The present embodiment additionally provides another system that parking stall is detected by video capture image, as shown in figure 4, including:
Default parking stall processing module 41:For obtaining default parking stall image information, image conversion processing is carried out, as Prototype drawing
Picture;
Image difference contrast module 42:For gathering the image information of current parking stall, handled, obtained by described image
The current vehicle bit image and the gray average of the template image and the difference of standard deviation, it is pre- to judge whether the difference is more than
If threshold value;
Contour area contrast module 43:For when the difference is more than predetermined threshold value, then obtaining the current vehicle bitmap
Contour area data message as in, judges whether the contour area is less than preset area;
State confirmation module 44:For when the contour area is less than the preset area, then by the current parking stall
As empty parking space.
Parking stall mark module 45:For the parking stall to be marked, when the current parking stall is empty parking space, by described in
Label information is shown.
In the present embodiment, default parking stall processing module 41 further includes image processing unit 411, image difference contrast module 42
Period detection unit 421 is further included, contour area contrast module 43 further includes black and white converting unit 431, areal calculation unit
432。
In the present embodiment, image processing unit 411 is used to the default parking stall image being converted to single channel gray level image,
And medium filtering noise reduction process is carried out to obtain the gradation of image average and standard deviation of the default parking stall image.
In the present embodiment, period detection unit 421 is used to set preset time period, judges in the preset time period
Whether the difference is more than predetermined threshold value, if so, then going to contour area contrast module.
In the present embodiment, black and white converting unit 431 is used to the image of the current parking stall carrying out the two of adaptive threshold
Value is handled, to be converted to black white image.
In the present embodiment, for calculating the contour area of the black white image, contrasted with preset area threshold value.
Using the present invention, by image processing techniques, the state status for judging current parking stall can be quickly identified, i.e.,
When connection parking stall whether have vehicle parking, can fast and accurately detect parking space state again from site factors interference.
Specific embodiment described herein is only to spirit explanation for example of the invention.Technology belonging to the present invention is led
The technical staff in domain can do various modifications or additions to described specific embodiment or replace in a similar way
Generation, but without departing from spirit of the invention or beyond the scope of the appended claims.
Claims (10)
- A kind of 1. method that parking stall is detected by video capture image, it is characterised in that including step:S1:Default parking stall image information is obtained, image conversion processing is carried out, as template image;S2:The image information of current parking stall is gathered, is handled by described image, obtains the current vehicle bit image and the mould The gray average of plate image and the difference of standard deviation, judge whether the difference is more than predetermined threshold value;S3:If so, then obtaining the contour area data message in the current vehicle bit image, judge whether the contour area is small In preset area;S4:If so, then using the current parking stall as empty parking space.
- A kind of 2. method that parking stall is detected by video capture image according to claim 1, it is characterised in that the step Rapid S1 further includes step:The default parking stall image is converted into single channel gray level image, and it is described pre- to obtain to carry out medium filtering noise reduction process If the gradation of image average and standard deviation of parking stall image.
- A kind of 3. method that parking stall is detected by video capture image according to claim 1, it is characterised in that the step Rapid S2 further includes step:Preset time period is set, judges whether the difference in the preset time period is more than predetermined threshold value, if so, then going to Step S3.
- A kind of 4. method that parking stall is detected by video capture image according to claim 1, it is characterised in that the step Rapid S3 further includes step:The image of the current parking stall is carried out to the binary conversion treatment of adaptive threshold, to be converted to black white image;The contour area of the black white image is calculated, is contrasted with preset area threshold value.
- 5. a kind of method that parking stall is detected by video capture image according to claim 1, it is characterised in that further include Step:The parking stall is marked, when the current parking stall is empty parking space, the label information is shown.
- A kind of 6. system that parking stall is detected by video capture image, it is characterised in that including:Default parking stall processing module:For obtaining default parking stall image information, image conversion processing is carried out, as template image;Image difference contrast module:For gathering the image information of current parking stall, handled by described image, obtain described work as Front truck bit image and the gray average of the template image and the difference of standard deviation, judge whether the difference is more than default threshold Value;Contour area contrast module:For when the difference is more than predetermined threshold value, then obtaining in the current vehicle bit image Contour area data message, judges whether the contour area is less than preset area;State confirmation module:For when the contour area is less than the preset area, then using the current parking stall as empty Parking stall.
- 7. a kind of system that parking stall is detected by video capture image according to claim 6, it is characterised in that described pre- If parking stall processing module further includes:Image processing unit:For the default parking stall image to be converted to single channel gray level image, and carry out medium filtering drop Processing make an uproar to obtain the gradation of image average and standard deviation of the default parking stall image.
- A kind of 8. system that parking stall is detected by video capture image according to claim 6, it is characterised in that the figure Aberration value contrast module further includes:Period detection unit:For setting preset time period, judge whether the difference in the preset time period is more than Predetermined threshold value, if so, then going to contour area contrast module.
- A kind of 9. system that parking stall is detected by video capture image according to claim 6, it is characterised in that the wheel Profile surface product contrast module further includes:Black and white converting unit:For the image of the current parking stall to be carried out to the binary conversion treatment of adaptive threshold, to be converted to Black white image;Areal calculation unit:For calculating the contour area of the black white image, contrasted with preset area threshold value.
- 10. a kind of system that parking stall is detected by video capture image according to claim 6, it is characterised in that also wrap Include:Parking stall mark module:For the parking stall to be marked, when the current parking stall is empty parking space, the mark is believed Breath is shown.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711260406.3A CN108022431A (en) | 2017-12-04 | 2017-12-04 | A kind of method and system that parking stall is detected by video capture image |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711260406.3A CN108022431A (en) | 2017-12-04 | 2017-12-04 | A kind of method and system that parking stall is detected by video capture image |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108022431A true CN108022431A (en) | 2018-05-11 |
Family
ID=62078188
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201711260406.3A Pending CN108022431A (en) | 2017-12-04 | 2017-12-04 | A kind of method and system that parking stall is detected by video capture image |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108022431A (en) |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108346313A (en) * | 2018-04-19 | 2018-07-31 | 济南浪潮高新科技投资发展有限公司 | A kind of method for detecting vacant parking place and system |
CN109118781A (en) * | 2018-08-28 | 2019-01-01 | 深圳成谷科技有限公司 | A kind of satellite-based parking stall condition detection method, device and system |
CN109147382A (en) * | 2018-09-25 | 2019-01-04 | 深圳市元征科技股份有限公司 | A kind of intelligent parking method and system |
CN109235995A (en) * | 2018-09-26 | 2019-01-18 | 歌尔股份有限公司 | A kind of locker of parking position, control method |
CN109508682A (en) * | 2018-11-20 | 2019-03-22 | 成都通甲优博科技有限责任公司 | A kind of detection method on panorama parking stall |
CN109523827A (en) * | 2018-12-24 | 2019-03-26 | 广东电网有限责任公司 | Underground parking lot parking system |
WO2020001263A1 (en) * | 2018-06-25 | 2020-01-02 | 杭州海康威视数字技术股份有限公司 | Parking space recognition |
CN112016342A (en) * | 2019-05-28 | 2020-12-01 | 惠州市德赛西威汽车电子股份有限公司 | Learning type intelligent parking method and system |
CN113252939A (en) * | 2021-05-13 | 2021-08-13 | 中国长江电力股份有限公司 | Hydroelectric generating set creep detection method and device based on image recognition technology |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101059909A (en) * | 2006-04-21 | 2007-10-24 | 浙江工业大学 | All-round computer vision-based electronic parking guidance system |
CN104112370A (en) * | 2014-07-30 | 2014-10-22 | 哈尔滨工业大学深圳研究生院 | Monitoring image based intelligent parking lot parking place identification method and system |
KR20170025173A (en) * | 2015-08-27 | 2017-03-08 | 현대모비스 주식회사 | Method and apparatus for detecting parking area |
-
2017
- 2017-12-04 CN CN201711260406.3A patent/CN108022431A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101059909A (en) * | 2006-04-21 | 2007-10-24 | 浙江工业大学 | All-round computer vision-based electronic parking guidance system |
CN104112370A (en) * | 2014-07-30 | 2014-10-22 | 哈尔滨工业大学深圳研究生院 | Monitoring image based intelligent parking lot parking place identification method and system |
KR20170025173A (en) * | 2015-08-27 | 2017-03-08 | 현대모비스 주식회사 | Method and apparatus for detecting parking area |
Cited By (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108346313A (en) * | 2018-04-19 | 2018-07-31 | 济南浪潮高新科技投资发展有限公司 | A kind of method for detecting vacant parking place and system |
WO2020001263A1 (en) * | 2018-06-25 | 2020-01-02 | 杭州海康威视数字技术股份有限公司 | Parking space recognition |
CN109118781A (en) * | 2018-08-28 | 2019-01-01 | 深圳成谷科技有限公司 | A kind of satellite-based parking stall condition detection method, device and system |
CN109147382A (en) * | 2018-09-25 | 2019-01-04 | 深圳市元征科技股份有限公司 | A kind of intelligent parking method and system |
CN109147382B (en) * | 2018-09-25 | 2022-01-11 | 深圳市元征科技股份有限公司 | Intelligent parking method and system |
CN109235995A (en) * | 2018-09-26 | 2019-01-18 | 歌尔股份有限公司 | A kind of locker of parking position, control method |
CN109508682A (en) * | 2018-11-20 | 2019-03-22 | 成都通甲优博科技有限责任公司 | A kind of detection method on panorama parking stall |
CN109523827A (en) * | 2018-12-24 | 2019-03-26 | 广东电网有限责任公司 | Underground parking lot parking system |
CN112016342A (en) * | 2019-05-28 | 2020-12-01 | 惠州市德赛西威汽车电子股份有限公司 | Learning type intelligent parking method and system |
WO2020237822A1 (en) * | 2019-05-28 | 2020-12-03 | 惠州市德赛西威汽车电子股份有限公司 | Learning type intelligent parking method and system |
CN112016342B (en) * | 2019-05-28 | 2024-06-21 | 惠州市德赛西威汽车电子股份有限公司 | Learning type intelligent parking method and system |
CN113252939A (en) * | 2021-05-13 | 2021-08-13 | 中国长江电力股份有限公司 | Hydroelectric generating set creep detection method and device based on image recognition technology |
CN113252939B (en) * | 2021-05-13 | 2023-12-05 | 中国长江电力股份有限公司 | Peristaltic detection method and device for hydroelectric generating set based on image recognition technology |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108022431A (en) | A kind of method and system that parking stall is detected by video capture image | |
CN105390021B (en) | The detection method and device of parking space state | |
CN104112370B (en) | Parking lot based on monitoring image intelligent car position recognition methods and system | |
US8666117B2 (en) | Video-based system and method for detecting exclusion zone infractions | |
CN107481526A (en) | System and method for drive a vehicle lane change detection record and lane change violating the regulations report control | |
JP7070683B2 (en) | Deterioration diagnosis device, deterioration diagnosis system, deterioration diagnosis method, program | |
CN103184719B (en) | Road surface survey device | |
CN106373426A (en) | Computer vision-based parking space and illegal lane occupying parking monitoring method | |
CN106504580A (en) | A kind of method for detecting parking stalls and device | |
CN106097755A (en) | For identifying the method parked place and/or vacate place | |
CN100454355C (en) | Video method for collecting information of vehicle flowrate on road in real time | |
CN103985182A (en) | Automatic public transport passenger flow counting method and system | |
CN103164958B (en) | Method and system for vehicle monitoring | |
CN101441814B (en) | Apparatus and method for inspecting road traffic information | |
CN104700188A (en) | System and method for parking public bicycles without piles | |
CN107516423A (en) | A kind of vehicle heading detection method based on video | |
JP2021111089A (en) | Road management system, road management method, and program | |
CN104700405A (en) | Foreground detection method and system | |
CN115506216A (en) | Pavement evenness analysis method and maintenance inspection system | |
CN109727456A (en) | A kind of method and device identifying vehicles identifications | |
WO2002052523A1 (en) | Method and apparatus for monitoring vehicle | |
CN110733461A (en) | oil theft prevention detection system and method based on vehicle speed and hydraulic pressure change analysis | |
KR100782205B1 (en) | Apparatus and system for displaying speed of car using image detection | |
CN108198428A (en) | Lorry intercepting system and hold-up interception method | |
CN107545590A (en) | A kind of method and system for identifying portrait height |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180511 |