CN106781541A - A kind of vehicle flow detection system based on video analysis - Google Patents

A kind of vehicle flow detection system based on video analysis Download PDF

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Publication number
CN106781541A
CN106781541A CN201611167966.XA CN201611167966A CN106781541A CN 106781541 A CN106781541 A CN 106781541A CN 201611167966 A CN201611167966 A CN 201611167966A CN 106781541 A CN106781541 A CN 106781541A
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CN
China
Prior art keywords
video
module
analysis
detection system
system based
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.)
Withdrawn
Application number
CN201611167966.XA
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Chinese (zh)
Inventor
陈拥权
陈学三
陈影
李建中
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Hefei Huanjing Information Technology Co Ltd
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Hefei Huanjing Information Technology Co Ltd
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Publication date
Application filed by Hefei Huanjing Information Technology Co Ltd filed Critical Hefei Huanjing Information Technology Co Ltd
Priority to CN201611167966.XA priority Critical patent/CN106781541A/en
Publication of CN106781541A publication Critical patent/CN106781541A/en
Withdrawn legal-status Critical Current

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Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/065Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • 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

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Theoretical Computer Science (AREA)
  • Image Processing (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention discloses a kind of vehicle flow detection system based on video analysis, including video collect module, supersonic detector, communication module, video pre-analysis module, CPU, memory module, alarm module, the video collect module is synchronised with supersonic detector and 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 the central processing unit for processing analysis, the alarm module 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 be gone in the analysis widely distributed great deal of nodes to network of process to frame of video, very significantly alleviate the processing pressure of rear end equipment, and front end encoding device can also do diplomatic storage on the basis of video analysis, greatly save the storage resource of user.

Description

A kind of vehicle flow detection system based on video analysis
Technical field
The present invention relates to intelligent video analysis technical field, more particularly to a kind of vehicle Flow Detection system based on video analysis System.
Background technology
Traditional monitoring work is passive type, can not differentiate threat and whether there is, and to lean on supervisor to pass through scene and draw The generation of accident is defined in face.This requires that supervisor will ceaselessly 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 is offered 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 or interference information in image can be filtered out, automatic point Analysis, the crucial useful information extracted in video source, so that the video camera in traditional monitoring system not only turns into the eyes of people, Also making intelligent video analysis turns into the brain of people.Intelligent video analysis are rationally to utilize human resources, raise the management level and real Now efficiently monitoring is made that huge contribution, however, due to technical immature, existing intelligent video monitoring system is not Fully up to expectations, rate of false alarm high and rate of failing to report high 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 to particular event description Have a greatly reduced quality, therefore with 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 transmit on demand, stores on demand.
The content of the invention
It is an object of the invention to overcome the deficiencies in the prior art, there is provided a kind of vehicle Flow Detection based on video analysis System.
The present invention is achieved by the following technical solutions:A kind of vehicle flow detection system based on video analysis, it is special Levy and be, including video collect module, supersonic detector, communication module, video pre-analysis module, CPU, deposit Storage module, alarm module, the video collect module are synchronised with supersonic detector and be connected with communication module with merging, described Video pre-analysis module receives the video information of communication module transmission, the video information after the central processing unit for processing analysis Memory module is stored in after category filter, the alarm module is connected with CPU.
Used as one of preferred embodiment of the invention, the memory module is database.
Used as one of preferred embodiment of the invention, the video collect module is high definition network head.
Used as one of preferred embodiment of the invention, the communication module is GPS or optical fiber.
Used as one of preferred embodiment of the invention, the alarm module is audible-visual annunciator.
Used as one of preferred embodiment of the invention, the video pre-analysis module includes with central processing unit for processing flow Following steps:
(1) front end encoding device obtains the visual information and 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 into 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, predetermined applied analysis rule is matched;
(8) the match is successful, and database is stored in using analysis result 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 the analysis widely distributed great deal of nodes to network of process to frame of video, very significantly alleviate rear end equipment Processing pressure, and front end encoding device can also do diplomatic storage on the basis of video analysis, greatly save The storage resource of user.
Brief description of the drawings
Fig. 1 is structural representation of the invention;
Fig. 2 is video analysis process chart of the invention.
Specific embodiment
Embodiments of the invention are elaborated below, the present embodiment is carried out under premised on technical solution of the present invention Implement, give detailed implementation method and specific operating process, but protection scope of the present invention is not limited to following implementations Example.
Embodiment 1
Referring to Fig. 1, Fig. 2:A kind of vehicle flow detection system based on video analysis, including video collect module, ultrasonic wave Detector, communication module, video pre-analysis module, CPU, memory module, alarm module, the video collect mould Block is synchronised with supersonic detector and be connected with communication module with merging, and the video pre-analysis module receives communication module transmission Video information, be stored in memory module, the report after the video information category filter after central processing unit for processing analysis Alert module is connected with CPU.
Used as one of preferred embodiment of the invention, the memory module is database.
Used as one of preferred embodiment of the invention, the video collect module is high definition network head.
Used as one of preferred embodiment of the invention, the communication module is GPS or optical fiber.
Used as one of preferred embodiment of the invention, the alarm module is audible-visual annunciator.
Used as one of preferred embodiment of the invention, the video pre-analysis module includes with central processing unit for processing flow 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 into 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, predetermined applied analysis rule is matched;
(8) the match is successful, and database is stored in using analysis result as application label.
Presently preferred embodiments of the present invention is the foregoing is only, is not intended to limit the invention, it is all in essence of the invention Any modification, equivalent and improvement made within god and principle etc., should be included within the scope of the present invention.

Claims (6)

1. a kind of vehicle flow detection system based on video analysis, it is characterised in that including video collect module, ultrasound examination Device, communication module, video pre-analysis module, CPU, memory module, alarm module, the video collect module with Supersonic detector is synchronised and be connected with communication module with merging, and the video pre-analysis module receives regarding for communication module transmission Frequency information, memory module, the alarm mould are stored in after the video information category filter after the central processing unit for processing analysis Block is connected with CPU.
2. the vehicle flow detection system based on video analysis according to claim 1, it is characterised in that memory module is number According to storehouse.
3. the vehicle flow detection system based on video analysis according to claim 1, it is characterised in that the video collect Module is high definition network head.
4. the vehicle flow detection system based on video analysis according to claim 1, it is characterised in that the communication module It is GPS or optical fiber.
5. the vehicle flow detection system based on video analysis according to claim 1, it is characterised in that the alarm module It is audible-visual annunciator.
6. the vehicle flow detection system based on video analysis according to claim 1, it is characterised in that the video preprocessor point Analysis module is comprised the following steps with central processing unit for processing flow:
(1) front end encoding device obtains the visual information and 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 into 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, predetermined applied analysis rule is matched,
(8) the match is successful, and database is stored in using analysis result as application label.
CN201611167966.XA 2016-12-16 2016-12-16 A kind of vehicle flow detection system based on video analysis Withdrawn CN106781541A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201611167966.XA CN106781541A (en) 2016-12-16 2016-12-16 A kind of vehicle flow detection system based on video analysis

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201611167966.XA CN106781541A (en) 2016-12-16 2016-12-16 A kind of vehicle flow detection system based on video analysis

Publications (1)

Publication Number Publication Date
CN106781541A true CN106781541A (en) 2017-05-31

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CN201611167966.XA Withdrawn CN106781541A (en) 2016-12-16 2016-12-16 A kind of vehicle flow detection system based on video analysis

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113719190A (en) * 2021-09-13 2021-11-30 常州大学 Safety isolation device for chemical safety

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE19727895A1 (en) * 1997-07-01 1999-02-11 Bosch Gmbh Robert Road traffic detection device for monitoring traffic flow
CN101968927A (en) * 2010-09-21 2011-02-09 隋亚刚 Detection system for acquiring traffic flow by using high-definition video and microwave detection selectively
CN102724385A (en) * 2012-06-21 2012-10-10 浙江宇视科技有限公司 Intelligent video analysis method and device
CN103164963A (en) * 2011-12-11 2013-06-19 西安正昌电子有限责任公司 Video analysis system of road traffic flow
CN105761487A (en) * 2016-03-22 2016-07-13 太仓诚泽网络科技有限公司 Traffic flow information acquisition system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE19727895A1 (en) * 1997-07-01 1999-02-11 Bosch Gmbh Robert Road traffic detection device for monitoring traffic flow
CN101968927A (en) * 2010-09-21 2011-02-09 隋亚刚 Detection system for acquiring traffic flow by using high-definition video and microwave detection selectively
CN103164963A (en) * 2011-12-11 2013-06-19 西安正昌电子有限责任公司 Video analysis system of road traffic flow
CN102724385A (en) * 2012-06-21 2012-10-10 浙江宇视科技有限公司 Intelligent video analysis method and device
CN105761487A (en) * 2016-03-22 2016-07-13 太仓诚泽网络科技有限公司 Traffic flow information acquisition system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113719190A (en) * 2021-09-13 2021-11-30 常州大学 Safety isolation device for chemical safety

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Application publication date: 20170531

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