CN104123541A - Safety belt correct application intelligent video identification method - Google Patents
Safety belt correct application intelligent video identification method Download PDFInfo
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- CN104123541A CN104123541A CN201410346529.9A CN201410346529A CN104123541A CN 104123541 A CN104123541 A CN 104123541A CN 201410346529 A CN201410346529 A CN 201410346529A CN 104123541 A CN104123541 A CN 104123541A
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- safety belt
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- intelligent video
- identification method
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Abstract
The invention discloses a safety belt correct application intelligent video identification method. The safety belt correct application intelligent video identification method comprises collecting video images according to a front-end camera; uncompressing the collected video images and decomposing the video images into YUV (Luma and Chroma) pictures; converting the YUV pictures into RGB (Red Green Blue) pictures; decomposing the RGB pictures into pictures in frames and extracting a plurality of frames from the pictures at random for comparison and analysis; comparing the latter-frame picture with the former-frame picture and updating a background environment through auto tuning, disassociating a moving target object-particularly referring to people- from the back ground environment; performing gray level computation on upper body identification of a human body after the target object is targeted to accordingly determine whether a safety belt is correctly worn. The safety belt correct application intelligent video identification method can be used for conveniently and timely identifying whether a worker correctly wears a safety belt in electric power operation.
Description
Technical field
The present invention relates to a kind of securing band and correctly wear intelligent video recognition methods.
Background technology
For electric power facility, how whether the personal security band of electric operating is correctly worn and to be managed, be the long-term target of pursuing of technician, there is not yet so far desirable method.
Summary of the invention
The object of the present invention is to provide a kind of can be convenient, in time whether the personal security band of electric operating is correctly worn to the securing band that situation identifies and correctly wears intelligent video recognition methods.
Technical solution of the present invention is:
A kind of securing band is correctly worn intelligent video recognition methods, it is characterized in that: concrete steps:
(1) gather video image by front-end camera;
(2) decompress gathering the video image of returning, and resolve into YUV picture;
(3) convert YUV picture to RGB picture;
(4) resolve into picture one by one, then therefrom randomly draw multiframe and analyze contrast;
(5) a rear frame picture and former frame picture are contrasted, and utilize self study, real-time update background environment, therefrom detaches moving target object-refer in particular to people;
(6) lock onto after target object, to upper half of human body, gray level calculating is carried out in identification, thereby determines whether securing band is correctly worn.
The present invention can facilitate, in time whether the personal security band of electric operating is correctly worn to situation identifies; Whether wear and correct wear safety belt whether by the continual detection of intelligent video monitoring, can get rid of due to not wearing and the incorrect safety problem of seatbelt wearing that people's carelessness causes.Be mainly used in intelligent video analysis, whether wear safety belt of testing personnel, and whether seatbelt wearing is correct.
Below in conjunction with embodiment, the invention will be further described.
Embodiment
A kind of securing band is correctly worn intelligent video recognition methods, concrete steps:
(1) gather video image by front-end camera;
(2) decompress gathering the video image of returning, and resolve into YUV picture;
(3) convert YUV picture to RGB picture;
(4) resolve into picture one by one, then therefrom randomly draw multiframe and analyze contrast;
(5) a rear frame picture and former frame picture are contrasted, and utilize self study, real-time update background environment, therefrom detaches moving target object-refer in particular to people;
(6) lock onto after target object, to upper half of human body, gray level calculating is carried out in identification, thereby determines whether securing band is correctly worn.
The picture breakdown of front-end camera collection is become to picture one by one, select suitable frame to pass to core intelligence image analysis module according to actual conditions and carry out graphical analysis, the image of the image of a rear frame and former frame is contrasted, and utilize the slight change of automatic learning scene, thereby set up and safeguard the background environment of a real-time update, this background environment can change according to the slight change of environment.Again the thing beyond background is therefrom detached, thereby form the object on picture.Because every sample object can detach from background, and can provide object corresponding pixel coordinate in picture, we just can carry out upper half of human body identification according to its coordinate position, and its gray level is calculated, thereby determine whether securing band is correctly worn.
Claims (1)
1. securing band is correctly worn an intelligent video recognition methods, it is characterized in that: concrete steps:
(1) gather video image by front-end camera;
(2) decompress gathering the video image of returning, and resolve into YUV picture;
(3) convert YUV picture to RGB picture;
(4) resolve into picture one by one, then therefrom randomly draw multiframe and analyze contrast;
(5) a rear frame picture and former frame picture are contrasted, and utilize self study, real-time update background environment, therefrom detaches moving target object-refer in particular to people;
(6) lock onto after target object, to upper half of human body, gray level calculating is carried out in identification, thereby determines whether securing band is correctly worn.
Priority Applications (1)
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CN201410346529.9A CN104123541A (en) | 2014-07-21 | 2014-07-21 | Safety belt correct application intelligent video identification method |
Applications Claiming Priority (1)
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CN201410346529.9A CN104123541A (en) | 2014-07-21 | 2014-07-21 | Safety belt correct application intelligent video identification method |
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CN104123541A true CN104123541A (en) | 2014-10-29 |
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CN201410346529.9A Pending CN104123541A (en) | 2014-07-21 | 2014-07-21 | Safety belt correct application intelligent video identification method |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105022997A (en) * | 2015-07-10 | 2015-11-04 | 国家电网公司 | Intelligent truck crane video identification method for power transmission and distribution line channel |
CN105022998A (en) * | 2015-07-10 | 2015-11-04 | 国家电网公司 | Intelligent plastic greenhouse flotage video identification method for power transmission and distribution line channel |
Citations (2)
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CN102999749A (en) * | 2012-12-21 | 2013-03-27 | 广东万安科技股份有限公司 | Intelligent safety belt regulation violation event detecting method based on face detection |
CN103745226A (en) * | 2013-12-31 | 2014-04-23 | 国家电网公司 | Dressing safety detection method for worker on working site of electric power facility |
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2014
- 2014-07-21 CN CN201410346529.9A patent/CN104123541A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102999749A (en) * | 2012-12-21 | 2013-03-27 | 广东万安科技股份有限公司 | Intelligent safety belt regulation violation event detecting method based on face detection |
CN103745226A (en) * | 2013-12-31 | 2014-04-23 | 国家电网公司 | Dressing safety detection method for worker on working site of electric power facility |
Non-Patent Citations (1)
Title |
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赵向梅等: "基于视频图像的目标检测技术研究", 《电子设计工程》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105022997A (en) * | 2015-07-10 | 2015-11-04 | 国家电网公司 | Intelligent truck crane video identification method for power transmission and distribution line channel |
CN105022998A (en) * | 2015-07-10 | 2015-11-04 | 国家电网公司 | Intelligent plastic greenhouse flotage video identification method for power transmission and distribution line channel |
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Application publication date: 20141029 |