CN106503699A - A kind of pedestrian based on video analysis crosses zebra stripes detecting system - Google Patents
A kind of pedestrian based on video analysis crosses zebra stripes detecting system Download PDFInfo
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- CN106503699A CN106503699A CN201611167969.3A CN201611167969A CN106503699A CN 106503699 A CN106503699 A CN 106503699A CN 201611167969 A CN201611167969 A CN 201611167969A CN 106503699 A CN106503699 A CN 106503699A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/588—Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/285—Selection of pattern recognition techniques, e.g. of classifiers in a multi-classifier system
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/53—Recognition of crowd images, e.g. recognition of crowd congestion
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
- G06V20/582—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of traffic signs
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- General Engineering & Computer Science (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
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Abstract
The invention discloses a kind of pedestrian based on video analysis crosses zebra stripes detecting system, the video collect module is connected with communication module with merging as the ultrasonic detector synchronised of zebra stripes both sides with detection range is set, the video pre-analysis module receives the video information of communication module transmission, memory module is stored in after video information category filter after the central processing unit for processing analysis, the alarm module is connected with CPU, and the positioning tracker is connected with CPU.Present invention advantage compared to existing technology is：The present invention takes full advantage of the existing resource of a large amount of front end encoding devices, to go in widely distributed for analysis process to the frame of video great deal of nodes to network, the processing pressure of rear end equipment is very significantly alleviated, and front end encoding device can greatly save the storage resource of user to do diplomatic storage on the basis of video analysis.
Description
Technical field
The present invention relates to intelligent video analysis technical field, more particularly to a kind of pedestrian based on video analysis crosses zebra stripes
Detecting system.
Background technology
Traditional monitoring work is passive type, can not differentiate threat and whether there is, and supervisor to be leaned on is drawn by scene
Face is defining the generation of accident.This requires that supervisor ceaselessly will stare at screen, because they do not know critical event
When can occur.And supervisor seldom keeps the state that notice is concentrated to check tens screens, so that when true
Alarm occur when, but may the personnel of being monitored ignored.In addition, monitoring personnel will spend greatly when needing to check historical summary
The time of amount finds out desired picture in huge data.
Intelligent video analysis system can be such that computer offers an explanation from numerous and complicated video image, recognize target object or judge special
Determine whether event occurs.It is applied in security protection video monitoring system, useless in image or interference information can be filtered out, divides automatically
Analysis, the crucial useful information extracted in video source, so that the video camera in traditional monitoring system is not only into the eyes for people,
Also intelligent video analysis are made into the brain for people.Intelligent video analysis utilize human resources, raise the management level and real for reasonable
Now efficiently monitoring is made that huge contribution, however, due to technical immature, existing intelligent video monitoring system is not
Fully up to expectations, high rate of false alarm and high rate of failing to report tend not to make monitoring personnel trust them completely.Existing intelligent video analysis
System only relies on image information analysis and judges whether particular event or behavior occur, although vision is compared to sense organs such as sense of hearing tactiles
The information content of acquisition is bigger, but if isolated from the visual information for obtaining, the accuracy meeting described by particular event
Have a greatly reduced quality, therefore there is significant limitation.Secondly, existing intelligent video analysis system is rather dark or excessively strong
Signal and poor signal, tend not to accurately be analyzed.In addition, existing intelligent video analysis system Working mould
Formula is single, tends not to realize transmission on demand, stores on demand.
Content of the invention
It is an object of the invention to overcoming the deficiencies in the prior art, there is provided a kind of pedestrian based on video analysis crosses zebra
Line detecting system.
The present invention is achieved by the following technical solutions：A kind of pedestrian based on video analysis crosses zebra stripes detection system
System, it is characterised in that including video collect module, set detection range as ultrasonic detector, the communication mould of zebra stripes both sides
Block, video pre-analysis module, CPU, memory module, alarm module, positioning tracker, the video collect module
It is connected with communication module with merging as the ultrasonic detector synchronised of zebra stripes both sides with detection range is set, the video preprocessor
Analysis module receives the video information of communication module transmission, the video information classifying screen after the central processing unit for processing analysis
Memory module is stored in after choosing, the alarm module is connected with CPU, the positioning tracker and CPU
It is connected.
One of preferred embodiment as the present invention, the memory module are database.
One of preferred embodiment as the present invention, the video collect module are high definition network head.
One of preferred embodiment as the present invention, the communication module are GPS or optical fiber.
One of preferred embodiment as the present invention, the alarm module are audible-visual annunciator.
One of preferred embodiment as the present invention, the video pre-analysis module is included with central processing unit for processing flow process
Following steps：
(1) front end encoding device obtains visual information and the flow information of frame of video in an encoding process；
(2) predefined frame of video will be met and will stamp video information label；
(3) frame of video is issued CPU；
(4) when carrying video information mark carries out step (5)；
(5) by video information tag stored data storehouse；
(6) when specified visible elements variable quantity is more than threshold values；
(7) visual information of frame of video is obtained, mates predetermined applied analysis rule；
(8) the match is successful, and analysis result is stored in database as application label.
Present invention advantage compared to existing technology is：The present invention takes full advantage of the existing money of a large amount of front end encoding devices
Source, will go in widely distributed for analysis process to the frame of video great deal of nodes to network, very significantly alleviates rear end equipment
Processing pressure, and front end encoding device can be greatlyd save with doing diplomatic storage on the basis of video analysis
The storage resource of user.
Description of the drawings
Fig. 1 is the structural representation of the present invention；
Fig. 2 is the video analysis process chart of the present invention.
Specific embodiment
Below embodiments of the invention are elaborated, the present embodiment is carried out under premised on technical solution of the present invention
Implement, give detailed embodiment and specific operating process, but protection scope of the present invention is not limited to following enforcements
Example.
Embodiment 1
Referring to Fig. 1, Fig. 2：A kind of pedestrian based on video analysis crosses zebra stripes detecting system, it is characterised in that include regarding
Frequency collection module, set detection range as the ultrasonic detector of zebra stripes both sides, communication module, video pre-analysis module, in
Central Processing Unit, memory module, alarm module, positioning tracker, the video collect module with set detection range as zebra
The ultrasonic detector synchronised of line both sides is connected with communication module with merging, and the video pre-analysis module receives communication module
The video information of transmission, is stored in memory module after the video information category filter after the central processing unit for processing analysis, institute
State alarm module to be connected with CPU, the positioning tracker is connected with CPU.
One of preferred embodiment as the present invention, the memory module are database.
One of preferred embodiment as the present invention, the video collect module are high definition network head.
One of preferred embodiment as the present invention, the communication module are GPS or optical fiber.
One of preferred embodiment as the present invention, the alarm module are audible-visual annunciator.
One of preferred embodiment as the present invention, the video pre-analysis module is included with central processing unit for processing flow process
Following steps：
(1) front end encoding device obtains the visual information and location information of frame of video in an encoding process；
(2) predefined frame of video will be met and will stamp video information label；
(3) frame of video is issued CPU；
(4) when carrying video information mark carries out step (5)；
(5) by video information tag stored data storehouse；
(6) when specified visible elements variable quantity is more than threshold values；
(7) visual information of frame of video is obtained, mates predetermined applied analysis rule；
(8) the match is successful, and analysis result is stored in database as application label.
Presently preferred embodiments of the present invention is the foregoing is only, not in order to limit the present invention, all in essence of the invention
Any modification, equivalent and improvement that is made within god and principle etc., should be included within the scope of the present invention.
Claims (6)
1. a kind of pedestrian based on video analysis crosses zebra stripes detecting system, it is characterised in that including video collect module, setting
Detection range is the ultrasonic detector of zebra stripes both sides, communication module, video pre-analysis module, CPU, storage
Module, alarm module, positioning tracker, the video collect module are visited as the ultrasonic wave of zebra stripes both sides with detection range is set
Survey device synchronised to be connected with communication module with merging, the video pre-analysis module receives the video information of communication module transmission,
Memory module is stored in after video information category filter after central processing unit for processing analysis, the alarm module and central authorities
Processing unit is connected, and the positioning tracker is connected with CPU.
2. the pedestrian based on video analysis according to claim 1 crosses zebra stripes detecting system, it is characterised in that storage mould
Block is database.
3. the pedestrian based on video analysis according to claim 1 crosses zebra stripes detecting system, it is characterised in that described regard
Frequency collection module is high definition network head.
4. the pedestrian based on video analysis according to claim 1 crosses zebra stripes detecting system, it is characterised in that described logical
Letter module is GPS or optical fiber.
5. the pedestrian based on video analysis according to claim 1 crosses zebra stripes detecting system, it is characterised in that the report
Alert module is audible-visual annunciator.
6. the pedestrian based on video analysis according to claim 1 crosses zebra stripes detecting system, it is characterised in that described regard
Frequency pre-analysis module is comprised the following steps with central processing unit for processing flow process：
(1) front end encoding device obtains visual information and the flow information of frame of video in an encoding process；
(2) predefined frame of video will be met and will stamp video information label；
(3) frame of video is issued CPU；
(4) when carrying video information mark carries out step (5)；
(5) by video information tag stored data storehouse；
(6) when specified visible elements variable quantity is more than threshold values；
(7) visual information of frame of video is obtained, mates predetermined applied analysis rule,
(8) the match is successful, and analysis result is stored in database as application label.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611167969.3A CN106503699A (en) | 2016-12-16 | 2016-12-16 | A kind of pedestrian based on video analysis crosses zebra stripes detecting system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611167969.3A CN106503699A (en) | 2016-12-16 | 2016-12-16 | A kind of pedestrian based on video analysis crosses zebra stripes detecting system |
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| CN106503699A true CN106503699A (en) | 2017-03-15 |
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| CN201611167969.3A Withdrawn CN106503699A (en) | 2016-12-16 | 2016-12-16 | A kind of pedestrian based on video analysis crosses zebra stripes detecting system |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102724385A (en) * | 2012-06-21 | 2012-10-10 | 浙江宇视科技有限公司 | Intelligent video analysis method and device |
| CN103198678A (en) * | 2013-04-07 | 2013-07-10 | 宁波保税区立诚信息技术有限公司 | Pedestrian signal lamp control system |
| US20140003724A1 (en) * | 2012-06-28 | 2014-01-02 | International Business Machines Corporation | Detection of static object on thoroughfare crossings |
| CN104091446A (en) * | 2014-07-11 | 2014-10-08 | 厦门磐道电子有限公司 | Intelligent video analyzing method for pedestrians crossing zebra stripes |
| CN104332052A (en) * | 2014-11-11 | 2015-02-04 | 杭州新迪数字工程系统有限公司 | Automatic capture system for pedestrian red light punishment and recognition method |
| CN105575124A (en) * | 2015-12-08 | 2016-05-11 | 合肥寰景信息技术有限公司 | Monitoring system of abnormal traffic behaviors |
-
2016
- 2016-12-16 CN CN201611167969.3A patent/CN106503699A/en not_active Withdrawn
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102724385A (en) * | 2012-06-21 | 2012-10-10 | 浙江宇视科技有限公司 | Intelligent video analysis method and device |
| US20140003724A1 (en) * | 2012-06-28 | 2014-01-02 | International Business Machines Corporation | Detection of static object on thoroughfare crossings |
| CN103198678A (en) * | 2013-04-07 | 2013-07-10 | 宁波保税区立诚信息技术有限公司 | Pedestrian signal lamp control system |
| CN104091446A (en) * | 2014-07-11 | 2014-10-08 | 厦门磐道电子有限公司 | Intelligent video analyzing method for pedestrians crossing zebra stripes |
| CN104332052A (en) * | 2014-11-11 | 2015-02-04 | 杭州新迪数字工程系统有限公司 | Automatic capture system for pedestrian red light punishment and recognition method |
| CN105575124A (en) * | 2015-12-08 | 2016-05-11 | 合肥寰景信息技术有限公司 | Monitoring system of abnormal traffic behaviors |
Non-Patent Citations (1)
| Title |
|---|
| 唐晓东: "基于视频分析的行人闯红灯违法行为检测系统", 《中国人民公安大学学报(自然科学版)》 * |
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