CN105959639B - Pedestrian's monitoring method in avenue region based on ground calibration - Google Patents

Pedestrian's monitoring method in avenue region based on ground calibration Download PDF

Info

Publication number
CN105959639B
CN105959639B CN201610395781.8A CN201610395781A CN105959639B CN 105959639 B CN105959639 B CN 105959639B CN 201610395781 A CN201610395781 A CN 201610395781A CN 105959639 B CN105959639 B CN 105959639B
Authority
CN
China
Prior art keywords
pedestrian
region
avenue
activity
target area
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.)
Active
Application number
CN201610395781.8A
Other languages
Chinese (zh)
Other versions
CN105959639A (en
Inventor
阚建飞
翟继友
任永峰
王志坚
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
WUXI XIELIAN INFORMATION TECHNOLOGY CO.,LTD.
Original Assignee
Nanjing Institute of Technology
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Nanjing Institute of Technology filed Critical Nanjing Institute of Technology
Priority to CN201610395781.8A priority Critical patent/CN105959639B/en
Publication of CN105959639A publication Critical patent/CN105959639A/en
Application granted granted Critical
Publication of CN105959639B publication Critical patent/CN105959639B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/181Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10016Video; Image sequence
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30232Surveillance

Abstract

The present invention provide it is a kind of based on ground calibration avenue region in pedestrian's monitoring method, the following steps are included: step 1, segmentation object region: to the ground areas for being partitioned into pedestrian activity in the monitoring scene in avenue region, ground calibration is carried out as target area;Step 2 is monitored target area: the camera for being used to photographic subjects region being connected with background server, server is equipped with positioning device, recording device, analytical equipment and control device, and positioning device is for positioning target area;Recording device is used to record pedestrian activity's situation in target area, including shape color, motion state and azimuth information;Analytical equipment is used to analyze the feature of pedestrian, including shape, color, motion state and azimuth information.

Description

Pedestrian's monitoring method in avenue region based on ground calibration
Technical field
It the present invention relates to the use of the technology that camera is monitored pedestrian in avenue region, it is specifically a kind of to be based on Pedestrian's monitoring method in the avenue region of ground calibration.
Background technique
With the development of information technology and universal, camera in avenue region in obtained large-scale laying. The monitoring carried out using these cameras plays the guarantee of the safety of daily life in avenue region more and more important Effect.In specific monitoring, the monitoring to pedestrian in avenue region is one piece of wherein mostly important content.But Because more complicated to the image analysis of the monitoring of pedestrian in avenue region, it is difficult to accomplish to handle in real time.At present to camera shooting The utilization of head monitoring often has thing that access has occurred to use, do so efficiency sometimes and effect and be not it is obvious that The effect of processing and accident prevention in time is not achieved.The operating rate and effect of pedestrian's monitoring in avenue region are improved at present Rate makes it have more the development trend that real-time is monitoring work in avenue region.
By taking Fig. 1 as an example, we can have found that the range monitored is very big in entire avenue region in monitored picture, But the movable region (such as black line institute target area in figure) of pedestrian institute energy only accounts for very small part therein.If in city A large amount of resource and time can be wasted by carrying out analysis and target pedestrian searching to whole region when monitoring in city, region, street, Pedestrian's monitoring system is set to lose the effect of real-time.But if our monitor videos in avenue region divide When analysis, the range being only likely to occur to monitored picture pedestrian is calculated, and can largely improve work in this way Efficiency improves the real-time of system.
In view of discussed above, it is proposed that pedestrian monitoring technology side in a kind of avenue region based on ground calibration Case.
Summary of the invention
The present invention provides a kind of based on ground calibration to solve drawbacks described above and deficiency existing in the prior art Pedestrian's monitoring method in avenue region, this method monitoring efficiency is high and result precision is high, and effectively reduces to money The waste in source, real-time are high.
In order to solve the above technical problems, the present invention provide it is a kind of based on ground calibration avenue region in pedestrian monitoring Method, comprising the following steps:
Step 1, segmentation object region: to the ground for being partitioned into pedestrian activity in the monitoring scene in avenue region Range carries out ground calibration as target area;
Step 2 is monitored target area: the camera for being used to photographic subjects region is connected with background server, Server is equipped with positioning device, recording device, analytical equipment and control device, and positioning device is for positioning target area;Record Device is used to record pedestrian activity's situation in target area, including shape color, motion state and azimuth information;Analysis dress Set the feature for analyzing pedestrian, including shape, color, motion state and azimuth information.
Wherein, living to the pedestrian in monitoring scene using Algorithms for Automatic Classification when segmentation object region in the step 1 Dynamic ground areas is demarcated, and target area need to meet two conditions: one, target area is in the effective monitoring region of camera It is interior;Two, the scope of activities region of all pedestrians is covered in target area.
The division methods of pedestrian activity range areas the following steps are included:
A. the shade of the monitoring scene video in avenue region is eliminated, forms the background in original video region Interface;
B. the background interface to the monitoring scene video in avenue region and the video clip with pedestrian activity into Row analysis, determines the activity trail of pedestrian;
C. the scope of activities of pedestrian in the monitoring scene in avenue region is determined by the activity trail of pedestrian, and is carried out Ground calibration, the region of calibration are the target area of pedestrian activity.
Step a is specifically, the monitoring background video first in one section of avenue region of acquisition includes as original video There is n frame background picture, wherein n is the number of frame in the monitoring background video obtained;Then again with n frame background picture pixel Average value replaces each color vector of pixel in each background picture, forms new pixel, reaches the mesh for eliminating shade , to form original background interface.
Step b is specifically, have the set S:{ s of the frame of pedestrian activity in setting video1,s2,s3...sm, then the work of pedestrian The set A of dynamic trace, calculation formula are as follows:
A:{a1,a2,a3...am}=b-S:{ s1,s2,s3...sm}
Wherein, b is the background interface of video.
Step c specifically, firstly, by with pedestrian activity's trace video clip color space conversion be the space HSL, Conversion formula is as follows:
Wherein, three components in the space HSL: h is form and aspect, and s is saturation degree, and l is brightness;Three points in colored rgb space Amount: r represents red;G represents green;B represents blue;
Then, average value H, S and L of the space pedestrian trace HSL three components of pixel are found out, and by the pixel at background interface Operation is carried out with the average value and obtains ground calibration, and operational formula is as follows:
abs(H-h)<1and abs(S-s)<1and abs(L-l)<10
Operation result is the target area of pedestrian activity's trace.
Present invention advantageous effects achieved: the present invention is provided in a kind of avenue region based on ground calibration Pedestrian's monitoring method, this method monitoring efficiency is high and result precision is high, and effectively reduces the waste to resource, real-time It is high.
Detailed description of the invention
Fig. 1 flow diagram of the present invention;
Fig. 2 embodiments of the present invention original background frame;
Fig. 3 embodiments of the present invention pedestrian activity's frame;
Shadow removing is carried out to original background frame in Fig. 4 embodiments of the present invention and does not carry out shadow removing comparison diagram;
The pedestrian activity's trace figure extracted in Fig. 5 embodiments of the present invention.
Specific embodiment
The invention will be further described below in conjunction with the accompanying drawings.Following embodiment is only used for clearly illustrating the present invention Technical solution, and not intended to limit the protection scope of the present invention.
As shown in Figure 1, the present invention provide it is a kind of based on ground calibration avenue region in pedestrian's monitoring method, including Following steps:
Step 1, segmentation object region: to the ground for being partitioned into pedestrian activity in the monitoring scene in avenue region Range carries out ground calibration as target area;
When segmentation object region, marked using ground areas of the Algorithms for Automatic Classification to the pedestrian activity in monitoring scene Fixed, target area need to meet two conditions: one, target area is in the effective monitoring region of camera;Two, target area is covered The scope of activities region of all pedestrians.
The division methods of pedestrian activity range areas the following steps are included:
A. the shade of the monitoring scene video in avenue region is eliminated, forms the background in original video region Interface, shade not only influence ground calibration, can also bring difficulty to the monitoring analysis of pedestrian;As the embodiment of the present invention, As shown in Fig. 2, being the original background frame of a certain street monitor video.
The monitoring background video in one section of avenue region is obtained first as original video, includes n frame Background Piece;Then each color vector of pixel in each background picture is replaced with the average value of n frame background picture pixel again, is formed New pixel achievees the purpose that eliminate shade, to form original background interface.Eradicating efficacy is as shown in Figure 4, wherein M For the background interface for not eliminating shade, N is the background interface eliminated after shade.
B. the background interface to the monitoring scene video in avenue region and the video clip with pedestrian activity into Row analysis, determines the activity trail of pedestrian, as shown in Figure 3;
The set S:{ s of frame in setting video with pedestrian activity1,s2,s3...sm, then the set of the activity trail of pedestrian A, calculation formula are as follows:
A:{a1,a2,a3...am}=b-S:{ s1,s2,s3...sm}
Wherein, b is the background interface of video.
C. the scope of activities of pedestrian in the monitoring scene in avenue region is determined by the activity trail of pedestrian, and is carried out Ground calibration, the region of calibration are the target area of pedestrian activity, as shown in Figure 5;
Firstly, being the space HSL by the color space conversion of the video clip with pedestrian activity's trace, conversion formula is such as Under:
Wherein, three components in the space HSL: h is form and aspect, and s is saturation degree, and l is brightness;Three points in colored rgb space Amount: r represents red;G represents green;B represents blue;
Then, average value H, S and L of the space pedestrian trace HSL three components of pixel are found out, and by the pixel at background interface Operation is carried out with the average value and obtains ground calibration, and operational formula is as follows:
abs(H-h)<1and abs(S-s)<1and abs(L-l)<10
Operation result is the target area of pedestrian activity's trace.
Step 2 is monitored target area: the camera for being used to photographic subjects region is connected with background server, Server is equipped with positioning device, recording device, analytical equipment and control device, and positioning device is for positioning target area;Record Device is used to record pedestrian activity's situation in target area, including shape color, motion state and azimuth information;Analysis dress Set the feature for analyzing pedestrian, including shape, color, motion state and azimuth information.
Advantageous effects in order to better illustrate the present invention, scene in conjunction with the embodiments as shown in Figure 2-5 carry out more Detailed description:
Fig. 2 is the original background frame of a certain street monitor video, carries out shadow removing to the picture of Fig. 2 and does not carry out shade The comparison of elimination is as shown in figure 4, by extracting pedestrian activity's trace shown in Fig. 3 with pedestrian activity after carrying out shadow removing Mark, as shown in Figure 5.The results show that this method monitoring efficiency is high and result precision height, picture are clear.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art For member, without departing from the technical principles of the invention, several improvement and deformations can also be made, these improvement and deformations Also it should be regarded as protection scope of the present invention.

Claims (3)

1. pedestrian's monitoring method in the avenue region based on ground calibration, which comprises the following steps:
Step 1, segmentation object region: to the ground areas for being partitioned into pedestrian activity in the monitoring scene in avenue region, Ground calibration is carried out as target area;
Step 2 is monitored target area: the camera for being used to photographic subjects region being connected with background server, is serviced Device is equipped with positioning device, recording device, analytical equipment and control device, and positioning device is for positioning target area;Recording device For recording pedestrian activity's situation in target area, including shape color, motion state and azimuth information;Analytical equipment is used In the feature of analysis pedestrian, including shape, color, motion state and azimuth information;
In the step 1, when segmentation object region, using Algorithms for Automatic Classification to the ground of the pedestrian activity in monitoring scene Range is demarcated, and target area need to meet two conditions: one, target area is in the effective monitoring region of camera;Two, mesh Cover the scope of activities region of all pedestrians in mark region;
The division methods of pedestrian activity range areas the following steps are included:
A. the shade of the monitoring scene video in avenue region is eliminated, forms background circle in original video region Face;
B. the background interface to the monitoring scene video in avenue region and the video clip with pedestrian activity are divided Analysis, determines the activity trail of pedestrian;
C. the scope of activities of pedestrian in the monitoring scene in avenue region is determined by the activity trail of pedestrian, and carries out ground Calibration, the region of calibration are the target area of pedestrian activity;
Step c specifically, firstly, the colored rgb space of video clip with pedestrian activity's trace is converted to the space HSL, Conversion formula is as follows:
Wherein, three components in the space HSL: h is form and aspect, and s is saturation degree, and l is brightness;Three components in colored rgb space: r Represent red;G represents green;B represents blue;
Then, average value H, S and L of the space pedestrian activity trace HSL three components of pixel are found out, and by each of background interface A pixel and the average value carry out operation and obtain ground calibration, and operational formula is as follows:
abs(H-h)<1and abs(S-s)<1and abs(L-l)<10
Operation result meets the target area that above-mentioned operational formula is pedestrian activity's trace in background interface.
2. pedestrian's monitoring method in the avenue region according to claim 1 based on ground calibration, it is characterised in that: step Rapid a is specifically, the monitoring background video first in one section of avenue region of acquisition includes n frame background as original video Picture, wherein n is the number of frame in the monitoring background video obtained;Then it is replaced again with the average value of n frame background picture pixel Each color vector of pixel, forms new pixel in each background picture, achievees the purpose that eliminate shade, to be formed Original background interface.
3. pedestrian's monitoring method in the avenue region according to claim 1 based on ground calibration, it is characterised in that: step Rapid b is specifically, have the set S:{ s of the frame of pedestrian activity in setting video1,s2,s3...sm, then the collection of the activity trail of pedestrian A is closed, calculation formula is as follows:
A:{a1,a2,a3...am}=b-S:{ s1,s2,s3...sm}
Wherein, b is the background interface of video.
CN201610395781.8A 2016-06-06 2016-06-06 Pedestrian's monitoring method in avenue region based on ground calibration Active CN105959639B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610395781.8A CN105959639B (en) 2016-06-06 2016-06-06 Pedestrian's monitoring method in avenue region based on ground calibration

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610395781.8A CN105959639B (en) 2016-06-06 2016-06-06 Pedestrian's monitoring method in avenue region based on ground calibration

Publications (2)

Publication Number Publication Date
CN105959639A CN105959639A (en) 2016-09-21
CN105959639B true CN105959639B (en) 2019-06-14

Family

ID=56908781

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610395781.8A Active CN105959639B (en) 2016-06-06 2016-06-06 Pedestrian's monitoring method in avenue region based on ground calibration

Country Status (1)

Country Link
CN (1) CN105959639B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108491818B (en) * 2018-03-30 2019-07-05 北京三快在线科技有限公司 Detection method, device and the electronic equipment of target object

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102201059A (en) * 2011-05-20 2011-09-28 北京大学深圳研究生院 Pedestrian detection method and device
CN102332157A (en) * 2011-06-15 2012-01-25 夏东 Method for eliminating shadow
JP2012242993A (en) * 2011-05-18 2012-12-10 Nissan Motor Co Ltd Moving body monitoring device and moving body monitoring method
CN102930719A (en) * 2012-10-09 2013-02-13 北京航空航天大学 Video image foreground detection method for traffic intersection scene and based on network physical system
CN103324913A (en) * 2013-05-29 2013-09-25 长安大学 Pedestrian event detection method based on shape features and trajectory analysis
CN103400371A (en) * 2013-07-09 2013-11-20 河海大学 Multi-camera synergistic monitoring equipment and method

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012242993A (en) * 2011-05-18 2012-12-10 Nissan Motor Co Ltd Moving body monitoring device and moving body monitoring method
CN102201059A (en) * 2011-05-20 2011-09-28 北京大学深圳研究生院 Pedestrian detection method and device
CN102332157A (en) * 2011-06-15 2012-01-25 夏东 Method for eliminating shadow
CN102930719A (en) * 2012-10-09 2013-02-13 北京航空航天大学 Video image foreground detection method for traffic intersection scene and based on network physical system
CN103324913A (en) * 2013-05-29 2013-09-25 长安大学 Pedestrian event detection method based on shape features and trajectory analysis
CN103400371A (en) * 2013-07-09 2013-11-20 河海大学 Multi-camera synergistic monitoring equipment and method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
场景信息估计与遮挡条件下目标跟踪问题研究;朱琳;《中国博士学位论文全文数据库 信息科技辑》;20100215(第2期);全文

Also Published As

Publication number Publication date
CN105959639A (en) 2016-09-21

Similar Documents

Publication Publication Date Title
CN110070033B (en) Method for detecting wearing state of safety helmet in dangerous working area in power field
CN109657575B (en) Intelligent video tracking algorithm for outdoor constructors
CN106650620B (en) A kind of target person identification method for tracing using unmanned plane monitoring
WO2020029921A1 (en) Monitoring method and device
CN101236606B (en) Shadow cancelling method and system in vision frequency monitoring
CN108419014A (en) The method for capturing face using panoramic camera and the linkage of Duo Tai candid cameras
CN109918971B (en) Method and device for detecting number of people in monitoring video
KR20140095333A (en) Method and apparratus of tracing object on image
CN112149513A (en) Industrial manufacturing site safety helmet wearing identification system and method based on deep learning
CN103942539B (en) A kind of oval accurate high efficiency extraction of head part and masking method for detecting human face
CN104050480A (en) Cigarette smoke detection method based on computer vision
CN103258232A (en) Method for estimating number of people in public place based on two cameras
CN106682596A (en) Violation fishing monitoring method based on video image analysis
CN103996203A (en) Method and device for detecting whether face in image is sheltered
CN112347814A (en) Passenger flow estimation and display method, system and computer readable storage medium
CN103226860A (en) Passage passenger traffic density estimation method
CN110544259B (en) Method for detecting disguised human body target under complex background based on computer vision
CN105635696A (en) Statistical method and device
CN111242025A (en) Action real-time monitoring method based on YOLO
CN110288623A (en) The data compression method of unmanned plane marine cage culture inspection image
CN112287823A (en) Facial mask identification method based on video monitoring
CN115035088A (en) Helmet wearing detection method based on yolov5 and posture estimation
CN106599880A (en) Discrimination method of the same person facing examination without monitor
Chen et al. Robust license plate detection in nighttime scenes using multiple intensity IR-illuminator
CN104318240A (en) Flower bud discriminating method based on computer vision

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right

Effective date of registration: 20211229

Address after: 214191 unit 3, jinhuwan Shijia, Dongbei Tang, Xishan District, Wuxi City, Jiangsu Province

Patentee after: WUXI XIELIAN INFORMATION TECHNOLOGY CO.,LTD.

Address before: 1 No. 211167 Jiangsu city of Nanjing province Jiangning Science Park Hongjing Road

Patentee before: NANJING INSTITUTE OF TECHNOLOGY

TR01 Transfer of patent right