CN105959639A - Pedestrian monitoring method in urban street area based on ground calibration - Google Patents

Pedestrian monitoring method in urban street area based on ground calibration Download PDF

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Publication number
CN105959639A
CN105959639A CN201610395781.8A CN201610395781A CN105959639A CN 105959639 A CN105959639 A CN 105959639A CN 201610395781 A CN201610395781 A CN 201610395781A CN 105959639 A CN105959639 A CN 105959639A
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China
Prior art keywords
pedestrian
region
monitoring
avenue
activity
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CN201610395781.8A
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Chinese (zh)
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CN105959639B (en
Inventor
阚建飞
翟继友
任永峰
王志坚
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WUXI XIELIAN INFORMATION TECHNOLOGY CO.,LTD.
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Nanjing Institute of Technology
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    • 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 provides a pedestrian monitoring method in an urban street area based on ground calibration. The method comprises the steps of (1) dividing a target area, wherein the ground area of pedestrian movement is divided from the monitoring scene in the urban street area as a target area to carry out ground calibration, and (2) monitoring the target area, wherein a camera for shooting the target area is connected to a background server, the server is provided with a positioning device, a recording device, an analysis device and a control device, the positioning device is used for positioning the target area, the recording device is used for recording the pedestrian movement comprising shapes, colors, movement states and attitude information in the target area, and the analysis device is used for analyzing the characteristics of pedestrians, and the characteristics comprise shapes, colors, movement states and attitude information.

Description

Method is monitored based on pedestrian in the avenue region that ground is demarcated
Technical field
The present invention relates to the use of the technology that pedestrian in avenue region is monitored by photographic head, In a kind of avenue region based on ground demarcation, pedestrian monitors method.
Background technology
Along with the development of information technology and universal, photographic head in avenue region in obtain Large-scale laying.Utilize the monitoring that these photographic head are carried out, to daily in avenue region The guarantee of the safety of life serves the most important effect.In concrete monitoring, to city In region, city street, the monitoring of pedestrian is the most of paramount importance one piece of content.But it is because city In region, city street, the graphical analysis of the monitoring of pedestrian is more complicated, is difficult to accomplish to process in real time. The at present utilization to camera head monitor has thing there occurs to consult use often, and do so has Time efficiency and effect be not it is obvious that do not reach and process in time and the effect of accident prevention. Improve operating rate and the efficiency of pedestrian's monitoring in avenue region at present so that it is have more reality Time property is the development trend monitoring work in avenue region.
As a example by Fig. 1, we can find in whole avenue region in monitored picture, institute The scope of monitoring is very big, but pedestrian institute can the region (such as black line institute target area in figure) of activity Only account for very small part therein.If to whole when of monitoring in avenue region Individual region is analyzed to waste substantial amounts of resource and time with target pedestrian's searching, makes pedestrian supervise Ore-controlling Role loses the effect of real-time.If but we monitor in avenue region and regard The when of the analysis that frequency is carried out, the scope being only likely to occur monitored picture pedestrian is counted Calculate, so can improve work efficiency to a great extent, improve the real-time of system.
In view of discussed above, it is proposed that row in a kind of avenue region based on ground demarcation People monitors technical scheme.
Summary of the invention
The present invention is to solve drawbacks described above and deficiency present in prior art, it is provided that a kind of Monitor method based on pedestrian in the avenue region that ground is demarcated, the method monitoring efficiency high and Result precision is high, and effectively reduces the waste to resource, and real-time is high.
For solving above-mentioned technical problem, the present invention provides a kind of avenue demarcated based on ground In region, pedestrian monitors method, comprises the following steps:
Step one, segmentation object region: be partitioned in the monitoring scene in avenue region The ground areas of pedestrian activity, carries out ground demarcation as target area;
Step 2, is monitored target area: by for photographic subjects region photographic head with Background server is connected, and server is provided with positioner, recording equipment, analytical equipment and control Device, positioner is used for positioning target area;Recording equipment is in record object region Pedestrian activity's situation, including shape color, kinestate and azimuth information;Analytical equipment is used In the feature of analysis pedestrian, including shape, color, kinestate and azimuth information.
Wherein, in described step one, during segmentation object region, use Algorithms for Automatic Classification to prison The ground areas of the pedestrian activity in control scene is demarcated, and target area need to meet two bars Part: one, target area is in the effective monitoring region of photographic head;Two, institute is contained in target area There is the range of activity region of pedestrian.
The division methods of pedestrian activity range areas comprises the following steps:
A. the shade of the monitoring scene video in avenue region is eliminated, formed original The background interface of video area;
B. to the background interface of the monitoring scene video in avenue region with pedestrian activity Video clip be analyzed, determine the activity trail of pedestrian;
C. the work of pedestrian in the monitoring scene in avenue region is determined by the activity trail of pedestrian Dynamic scope, and carry out ground demarcation, the region of demarcation is the target area of pedestrian activity.
Step a is specifically, the monitoring background video first obtained in one section of avenue region is made For original video, including n frame background picture, wherein, n is the monitoring background video obtained The number of middle frame;Each background picture is replaced the most again by the meansigma methods of n frame background picture pixel Each color vector of middle pixel, forms new pixel, reaches to eliminate the purpose of shade, Thus form original background interface.
Step b is specifically, with the set of frame of pedestrian activity in setting video S:{s1,s2,s3...sm, then the set A of the activity trail of pedestrian, computing formula is as follows:
A:{a1,a2,a3...am}=b-S:{s1,s2,s3...sm}
Wherein, b is the background interface of video.
Specifically, first the color space of the video clip with pedestrian's vestige, is turned by step c Being changed to HSL space, conversion formula is as follows:
s = 0 , i f l = 0 o r m a x = m i n m a x - m i n m a x + m i n = m a x - m i n 2 l , i f 0 1 2
l = 1 2 t ( max + m i n )
Wherein, in HSL space, three component: h are form and aspect, and s is saturation, and l is brightness; In colored rgb space, three component: r represent redness;G represents green;B represents blueness;
Then, obtain meansigma methods H of pedestrian vestige HSL space three components of pixel, S and L, And the pixel at background interface and this meansigma methods are carried out computing acquisition ground demarcation, operational formula is such as Under:
abs(H-h)<1 and abs(S-s)<1 and abs(L-l)<10
Operation result is the target area of pedestrian activity's vestige.
The Advantageous Effects that the present invention is reached: the present invention provides a kind of based on ground demarcation In avenue region, pedestrian monitors method, and the method monitoring efficiency is high and result precision is high, And effectively reducing the waste to resource, real-time is high.
Accompanying drawing explanation
Fig. 1 schematic flow sheet 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;
Fig. 4 embodiments of the present invention carry out shadow removing to original background frame and does not carries out the moon Shadow eliminates comparison diagram;
The pedestrian activity's vestige figure extracted in Fig. 5 embodiments of the present invention.
Detailed description of the invention
The invention will be further described below in conjunction with the accompanying drawings.Following example are only used for more clear Chu's ground explanation technical scheme, and can not limit the scope of the invention with this.
As it is shown in figure 1, the present invention provides row in a kind of avenue region based on ground demarcation People monitors method, comprises the following steps:
Step one, segmentation object region: be partitioned in the monitoring scene in avenue region The ground areas of pedestrian activity, carries out ground demarcation as target area;
During segmentation object region, use Algorithms for Automatic Classification to the pedestrian activity's in monitoring scene Ground areas is demarcated, and target area need to meet two conditions: one, and target area is in shooting In the effective monitoring region of head;Two, the range of activity region of all pedestrians is contained in target area.
The division methods of pedestrian activity range areas comprises the following steps:
A. the shade of the monitoring scene video in avenue region is eliminated, formed original The background interface of video area, shade not only has influence on ground and demarcates, also can be to the monitoring of pedestrian Analysis brings difficulty;As embodiments of the invention, as in figure 2 it is shown, be the monitoring of a certain street The original background frame of video.
First the monitoring background video in one section of avenue region is obtained as original video, bag Containing n frame background picture;Each back of the body is replaced the most again by the meansigma methods of n frame background picture pixel In scape picture, each color vector of pixel, forms new pixel, reaches to eliminate shade Purpose, thus form original background interface.As shown in Figure 4, wherein, M is eradicating efficacy Not eliminating the background interface of shade, N is the background interface after eliminating shade.
B. to the background interface of the monitoring scene video in avenue region with pedestrian activity Video clip be analyzed, determine the activity trail of pedestrian, as shown in Figure 3;
With the set S:{s of frame of pedestrian activity in setting video1,s2,s3...sm, then the work of pedestrian The set A of dynamic vestige, computing formula is as follows:
A:{a1,a2,a3...am}=b-S:{s1,s2,s3...sm}
Wherein, b is the background interface of video.
C. the work of pedestrian in the monitoring scene in avenue region is determined by the activity trail of pedestrian Dynamic scope, and carry out ground demarcation, the region of demarcation is the target area of pedestrian activity, such as figure Shown in 5;
First, it is HSL space by the color space conversion of the video clip with pedestrian's vestige, Conversion formula is as follows:
s = 0 , i f l = 0 o r m a x = m i n m a x - m i n m a x + m i n = m a x - m i n 2 l , i f 0 1 2
l = 1 2 t ( max + m i n )
Wherein, in HSL space, three component: h are form and aspect, and s is saturation, and l is brightness; In colored rgb space, three component: r represent redness;G represents green;B represents blueness;
Then, obtain meansigma methods H of pedestrian vestige HSL space three components of pixel, S and L, And the pixel at background interface and this meansigma methods are carried out computing acquisition ground demarcation, operational formula is such as Under:
abs(H-h)<1 and abs(S-s)<1 and abs(L-l)<10
Operation result is the target area of pedestrian activity's vestige.
Step 2, is monitored target area: by for photographic subjects region photographic head with Background server is connected, and server is provided with positioner, recording equipment, analytical equipment and control Device, positioner is used for positioning target area;Recording equipment is in record object region Pedestrian activity's situation, including shape color, kinestate and azimuth information;Analytical equipment is used In the feature of analysis pedestrian, including shape, color, kinestate and azimuth information.
In order to better illustrate the Advantageous Effects of the present invention, in conjunction with the embodiments such as Fig. 2-5 institute The scene shown is described in more detail:
Fig. 2 is the original background frame of a certain street monitor video, and the picture of Fig. 2 is carried out shade Eliminate and do not carry out the contrast of shadow removing as shown in Figure 4, by extracting after carrying out shadow removing The pedestrian activity's vestige with pedestrian activity shown in Fig. 3, as shown in Figure 5.Result shows, The method monitoring efficiency is high and result precision is high, picture is clear.
The above is only the preferred embodiment of the present invention, it is noted that lead for this technology For the those of ordinary skill in territory, on the premise of without departing from the technology of the present invention principle, it is also possible to Making some improvement and deformation, these improve and deformation also should be regarded as protection scope of the present invention.

Claims (6)

1. in avenue region based on ground demarcation, pedestrian monitors method, it is characterised in that Comprise the following steps:
Step one, segmentation object region: be partitioned in the monitoring scene in avenue region The ground areas of pedestrian activity, carries out ground demarcation as target area;
Step 2, is monitored target area: by for photographic subjects region photographic head with Background server is connected, and server is provided with positioner, recording equipment, analytical equipment and control Device, positioner is used for positioning target area;Recording equipment is in record object region Pedestrian activity's situation, including shape color, kinestate and azimuth information;Analytical equipment is used In the feature of analysis pedestrian, including shape, color, kinestate and azimuth information.
Pedestrian's monitoring in avenue region based on ground demarcation the most according to claim 1 Method, it is characterised in that: in described step one, during segmentation object region, use classification automatically The ground areas of the pedestrian activity in monitoring scene is demarcated by algorithm, and target area need to meet Two conditions: one, target area is in the effective monitoring region of photographic head;Two, target area Contain the range of activity region of all pedestrians.
Pedestrian's monitoring in avenue region based on ground demarcation the most according to claim 2 Method, it is characterised in that: the division methods of pedestrian activity range areas comprises the following steps:
A. the shade of the monitoring scene video in avenue region is eliminated, formed original The background interface of video area;
B. to the background interface of the monitoring scene video in avenue region with pedestrian activity Video clip be analyzed, determine the activity trail of pedestrian;
C. the work of pedestrian in the monitoring scene in avenue region is determined by the activity trail of pedestrian Dynamic scope, and carry out ground demarcation, the region of demarcation is the target area of pedestrian activity.
Pedestrian's monitoring in avenue region based on ground demarcation the most according to claim 3 Method, it is characterised in that: first step a specifically, obtain in one section of avenue region Monitoring background video, as original video, includes n frame background picture, and wherein, n is for obtaining Monitoring background video in the number of frame;The most again with the meansigma methods generation of n frame background picture pixel For each color vector of pixel in each background picture, form new pixel, reach to disappear Except the purpose of shade, thus form original background interface.
Pedestrian's monitoring in avenue region based on ground demarcation the most according to claim 3 Method, it is characterised in that: step b is specifically, with the collection of frame of pedestrian activity in setting video Close S:{s1,s2,s3...sm, then the set A of the activity trail of pedestrian, computing formula is as follows:
A:{a1,a2,a3...am}=b-S:{s1,s2,s3...sm}
Wherein, b is the background interface of video.
Pedestrian's monitoring in avenue region based on ground demarcation the most according to claim 3 Method, it is characterised in that: step c specifically, first, by video circle with pedestrian's vestige The colored rgb space in face is converted to HSL space, and conversion formula is as follows:
s = 0 , i f l = 0 o r m a x = m i n m a x - m i n m a x + m i n = m a x - m i n 2 l , i f 0 1 2
l = 1 2 t ( max + m i n )
Wherein, in HSL space, three component: h are form and aspect, and s is saturation, and l is brightness; In colored rgb space, three component: r represent redness;G represents green;B represents blueness;
Then, obtain meansigma methods H of pedestrian vestige HSL space three components of pixel, S and L, And the pixel at background interface and this meansigma methods are carried out computing acquisition ground demarcation, operational formula is such as Under:
abs(H-h)<1 and abs(S-s)<1 and abs(L-l)<10
Operation result is the target area of pedestrian activity's vestige.
CN201610395781.8A 2016-06-06 2016-06-06 Pedestrian's monitoring method in avenue region based on ground calibration Active CN105959639B (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108491818A (en) * 2018-03-30 2018-09-04 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
朱琳: "场景信息估计与遮挡条件下目标跟踪问题研究", 《中国博士学位论文全文数据库 信息科技辑》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108491818A (en) * 2018-03-30 2018-09-04 北京三快在线科技有限公司 Detection method, device and the electronic equipment of target object
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

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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