CN103337171A - Comprehensive traffic monitoring system and corresponding monitoring method - Google Patents
Comprehensive traffic monitoring system and corresponding monitoring method Download PDFInfo
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- CN103337171A CN103337171A CN2013102378246A CN201310237824A CN103337171A CN 103337171 A CN103337171 A CN 103337171A CN 2013102378246 A CN2013102378246 A CN 2013102378246A CN 201310237824 A CN201310237824 A CN 201310237824A CN 103337171 A CN103337171 A CN 103337171A
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Abstract
A comprehensive traffic monitoring system comprises a monitor, a large-screen manager unit, an eyeball tracker unit, an event management unit and a comprehensive traffic monitoring system, wherein the large-screen manager unit, the eyeball tracker unit and the event management unit are in interconnection and interworking with the comprehensive traffic monitoring system. The system provided by the invention has the benefits that the eyeball tracker unit can real timely judge the screen point where the eyes focus through move paths of the eyeballs, and therefore, the system can provide a more efficient monitoring technology support for the comprehensive urban traffic monitoring.
Description
Technical field
The invention belongs to urban transportation monitoring field, be specifically related to a kind of intelligent city traffic comprehensively monitoring focusing on people and the auxiliary technology of studying and judging.
Background technology
Along with quickening of urbanization process, and the raising of living standards of the people, the busy extent of urban transportation grows with each passing day, and the accident that causes also emerges in an endless stream.How to utilize intelligentized novel means, come to monitor more effectively the city, become one of research focus of academia and industry member.
Traditional urban transportation monitoring means are: the traffic main points in the city are disposed the HD video camera, and set up the video monitoring private network that covers the city, and vision signal is linked into a supervision of the cities center.The some video monitoring persons of this center configuration are responsible for manual monitoring separately and handle the traffic safety event of hiding in the video information.This mechanism excessively relies on the observation of monitor's naked eyes and monitor's experience, and not only working strength is big, and finds that the efficient of traffic hazard is very low, the development trend that can not the adaptive video private monitoring network enlarges day by day.
Summary of the invention
Purpose of the present invention is exactly the problem that exists at prior art, intelligent city traffic comprehensive monitoring system and method for supervising thereof centered by a kind of people who proposes, it has utilized the monitoring technique to monitor's oculomotor follow-up analysis, and the task manager technology, monitoring technique supports for the urban transportation comprehensively monitoring provides more efficiently.
A kind of traffic comprehensive monitoring system is made up of monitor, large-size screen monitors manager unit, eye tracker unit, event management unit and traffic comprehensive monitoring system; Described large-size screen monitors manager unit, eye tracker unit, event management unit interconnect with the traffic comprehensive monitoring system by wired; Wherein, described monitor is the business personnel who has the urban transportation supervision authority, has the attribute that eyeball moves; Described large-size screen monitors manager unit is responsible for the big screen system that the monitor faces is carried out management and running and split screen demonstration; Described eyeball tracking device unit is responsible for utilizing camera that monitor's eyeball is moved and is followed the trail of and analyze; Described task manager unit is responsible for utilizing panel computer that the traffic hazard monitoring type is set in advance, and demonstration is amplified and reduction operation to large-size screen monitors; Described traffic comprehensive monitoring system is existing traffic surveillance and control system.
Described eye tracker unit is the camera with eye tracking function.
Utilize a kind of traffic comprehensive monitoring system of the present invention to realize that the method for monitoring is: after video surveillance network starts, the monitor starts the traffic comprehensive monitoring system, eye tracker unit by using camera begins to monitor monitor's eyeball, the large-size screen monitors manager unit is carried out the split screen display strategy according to the analysis result of eyeball eyeball motion track, and described split screen display strategy can effectively promote monitor's monitoring efficiency; Simultaneously, the monitor has the needs of certain traffic events of key monitoring, by calling the selected monitoring in task manager unit accident pattern, split screen display strategy is more accurately derived according to the monitoring features of accident pattern in the task manager unit, and passes to the usefulness that the giant-screen manager unit shows control.
Further, described large-size screen monitors manager unit split screen display strategy is:
Suppose the eyeball central point to the left eye angle, the distance of right eye angle, upper eyelid lower eyelid is respectively d
l, d
r, h
t, h
b
Step 1: obtain d according to eyeball tracking method synoptic diagram
l, d
r, h
tAnd h
bVariable numerical value;
Step 2: if d
l/ d
r≈ 1, then keeps 4 screen video stream sources of current demonstration;
Step 3: if d
l/ d
r1, and h
t＜=h
bThen keep upper right corner screen video, other three screen contents are called in the video flowing the highest with the upper right corner screen video degree of association;
Step 4: if d
l/ d
r1, and h
t＜=h
bThen keep lower right corner screen video, other three screen contents are called in the video flowing the highest with the lower right corner screen video degree of association;
Step 5: if d
l/ d
r＜1, and h
t＜=h
bThen keep upper left corner screen video, other three screen contents are called in the video flowing the highest with the upper left corner screen video degree of association;
Step 6: if d
l/ d
r＜1, and h
t＜=h
bThen keep lower left corner screen video, other three screen contents are called in the video flowing the highest with the lower left corner screen video degree of association.
Beneficial effect of the present invention is: the eye tracker unit goes out the screen point that eyes are paid close attention to by the motion track real-time judge of people's eyeball, can provide monitoring technique support more efficiently for the urban transportation comprehensively monitoring.
Description of drawings
Fig. 1 is a kind of traffic comprehensive monitoring system structural representation;
Fig. 2 is the described eyeball tracking method of a kind of traffic comprehensive monitoring system synoptic diagram;
Fig. 3 utilizes a kind of traffic comprehensive monitoring system to realize the process flow diagram of traffic monitoring method;
Embodiment
As shown in Figure 1, a kind of traffic comprehensive monitoring system is made up of monitor, large-size screen monitors manager unit, eye tracker unit, event management unit and traffic comprehensive monitoring system; Described large-size screen monitors manager unit, eye tracker unit, event management unit interconnect with the traffic comprehensive monitoring system by wired; Wherein, described monitor is the business personnel who has the urban transportation supervision authority, has the attribute that eyeball moves; Described large-size screen monitors manager unit is responsible for the big screen system that the monitor faces is carried out management and running and split screen demonstration; Described eyeball tracking device unit is responsible for utilizing camera that monitor's eyeball is moved and is followed the trail of and analyze; Described task manager unit is responsible for utilizing panel computer that the traffic hazard monitoring type is set in advance, and demonstration is amplified and reduction operation to large-size screen monitors; Described traffic comprehensive monitoring system is existing traffic surveillance and control system.
As shown in Figure 2, with the eyeball central point to the left eye angle, the distance of right eye angle, upper eyelid lower eyelid is set at respectively and is d
l, d
r, h
t, h
b
As shown in Figure 3, according to the movement locus of eyeball, in conjunction with large-size screen monitors manager unit split screen display strategy, realize that the method for traffic monitoring is:
Step 401 expression flow process begins.
Step 402 expression system initialization mainly comprises and sets up the video monitoring net, RFID read-write equipment, people's ocular pursuit camera, multihead display system environmentss such as (four screens).
Login when step 403 expression monitor is on duty enters operations such as event panel computer interface.
Step 404 expression monitor has entered monitor state, and people's ocular pursuit camera is started working.
Step 405 expression system routing logic binding events source information is calculated four road the highest videos of the degree of correlation.
Step 406 expression large-size screen monitors manager carries out split screen to 405 four road videos of selecting and shows, monitors in real time for the monitor.
Step 407 expression monitor judges according to the accident feature from the video that shows and identifies traffic hazard, the line item of going forward side by side.
The step 408 expression monitor platform of deactivating when coming off duty.
Step 409 expression flow process finishes.
Claims (4)
1. a traffic comprehensive monitoring system is made up of monitor, large-size screen monitors manager unit, eye tracker unit, event management unit and traffic comprehensive monitoring system; Described large-size screen monitors manager unit, eye tracker unit, event management unit interconnect with the traffic comprehensive monitoring system by wired; Wherein, described monitor is the business personnel who has the urban transportation supervision authority, has the attribute that eyeball moves; Described large-size screen monitors manager unit is responsible for the big screen system that the monitor faces is carried out management and running and split screen demonstration; Described eyeball tracking device unit is responsible for utilizing camera that monitor's eyeball is moved and is followed the trail of and analyze; Described task manager unit is responsible for utilizing panel computer that the traffic hazard monitoring type is set in advance, and demonstration is amplified and reduction operation to large-size screen monitors; Described traffic comprehensive monitoring system is existing traffic surveillance and control system.
2. a kind of traffic comprehensive monitoring system as claimed in claim 1 is characterized in that, described eye tracker unit is the camera with eye tracking function.
3. utilize a kind of traffic comprehensive monitoring system as claimed in claim 1 to realize that the method for monitoring is: after video surveillance network starts, the monitor starts the traffic comprehensive monitoring system, eye tracker unit by using camera begins to monitor monitor's eyeball, the large-size screen monitors manager unit is carried out the split screen display strategy according to the analysis result of eyeball eyeball motion track, and described split screen display strategy can effectively promote monitor's monitoring efficiency; Simultaneously, the monitor has the needs of certain traffic events of key monitoring, by calling the selected monitoring in task manager unit accident pattern, split screen display strategy is more accurately derived according to the monitoring features of accident pattern in the task manager unit, and passes to the usefulness that the giant-screen manager unit shows control.
4. a kind of traffic comprehensive monitoring system as claimed in claim 3 is realized the method for monitoring, it is characterized in that described large-size screen monitors manager unit split screen display strategy is:
Suppose the eyeball central point to the left eye angle, the distance of right eye angle, upper eyelid lower eyelid is respectively d
l, d
r, h
t, h
b
Step 1: obtain d according to eyeball tracking method synoptic diagram
l, d
r, h
tAnd h
bVariable numerical value;
Step 2: if d
l/ d
r≈ 1, then keeps 4 screen video stream sources of current demonstration;
Step 3: if d
l/ d
r1, and h
t＜=h
bThen keep upper right corner screen video, other three screen contents are called in the video flowing the highest with the upper right corner screen video degree of association;
Step 4: if d
l/ d
r1, and h
t＜=h
bThen keep lower right corner screen video, other three screen contents are called in the video flowing the highest with the lower right corner screen video degree of association;
Step 5: if d
l/ d
r＜1, and h
t＜=h
bThen keep upper left corner screen video, other three screen contents are called in the video flowing the highest with the upper left corner screen video degree of association;
Step 6: if d
l/ d
r＜1, and h
t＜=h
bThen keep lower left corner screen video, other three screen contents are called in the video flowing the highest with the lower left corner screen video degree of association.
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| CN201310237824.6A CN103337171B (en) | 2013-06-15 | 2013-06-15 | A kind of comprehensive traffic monitoring system and corresponding monitoring method |
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| CN103337171B CN103337171B (en) | 2018-04-10 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107844734A (en) * | 2016-09-19 | 2018-03-27 | 杭州海康威视数字技术股份有限公司 | Monitoring objective determines method and device, video frequency monitoring method and device |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101729783A (en) * | 2009-12-22 | 2010-06-09 | 上海大学 | Image stabilizing method of binocular vision system based on human eyeball vestibular-ocular reflex in bumpy environment |
| CN101786272A (en) * | 2010-01-05 | 2010-07-28 | 深圳先进技术研究院 | Multisensory robot used for family intelligent monitoring service |
| CN101915975A (en) * | 2010-06-25 | 2010-12-15 | 浙江大学 | Variable-focus human eyeball imitation structure driven by linear performer |
| CN102211522A (en) * | 2011-04-29 | 2011-10-12 | 四川长虹电器股份有限公司 | Unsafe state early-warning device and method for drivers |
| US20110295086A1 (en) * | 2009-11-09 | 2011-12-01 | Panasonic Corporation | State-of-attention determination apparatus, method, and program |
| CN102355574A (en) * | 2011-10-17 | 2012-02-15 | 上海大学 | Image stabilizing method of airborne tripod head moving target autonomous tracking system |
| JP2012065997A (en) * | 2010-09-27 | 2012-04-05 | Panasonic Corp | Line-of-sight estimation apparatus |
-
2013
- 2013-06-15 CN CN201310237824.6A patent/CN103337171B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110295086A1 (en) * | 2009-11-09 | 2011-12-01 | Panasonic Corporation | State-of-attention determination apparatus, method, and program |
| CN101729783A (en) * | 2009-12-22 | 2010-06-09 | 上海大学 | Image stabilizing method of binocular vision system based on human eyeball vestibular-ocular reflex in bumpy environment |
| CN101786272A (en) * | 2010-01-05 | 2010-07-28 | 深圳先进技术研究院 | Multisensory robot used for family intelligent monitoring service |
| CN101915975A (en) * | 2010-06-25 | 2010-12-15 | 浙江大学 | Variable-focus human eyeball imitation structure driven by linear performer |
| JP2012065997A (en) * | 2010-09-27 | 2012-04-05 | Panasonic Corp | Line-of-sight estimation apparatus |
| CN102211522A (en) * | 2011-04-29 | 2011-10-12 | 四川长虹电器股份有限公司 | Unsafe state early-warning device and method for drivers |
| CN102355574A (en) * | 2011-10-17 | 2012-02-15 | 上海大学 | Image stabilizing method of airborne tripod head moving target autonomous tracking system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107844734A (en) * | 2016-09-19 | 2018-03-27 | 杭州海康威视数字技术股份有限公司 | Monitoring objective determines method and device, video frequency monitoring method and device |
| CN107844734B (en) * | 2016-09-19 | 2020-07-07 | 杭州海康威视数字技术股份有限公司 | Monitoring target determination method and device and video monitoring method and device |
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| CN103337171B (en) | 2018-04-10 |
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Inventor after: Yang Tao Inventor after: Gao Weijian Inventor after: Ding Dechang Inventor before: Yang Tao |
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Effective date of registration: 20180307 Address after: Two street, Baiyun District of Guangzhou City, Guangdong Province, where 510450 ho Bu Cun No. 30 cloth Applicant after: Guangdong anda Traffic Engineering Co., Ltd. Address before: 102200 Beijing city Changping District Huilongguan lung Yeuk three District 31 Building 2 unit 501 room Applicant before: Yang Tao |
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