CN104284149A - Electric line dangerous source point oversize vehicle shape change detection video recognition method - Google Patents
Electric line dangerous source point oversize vehicle shape change detection video recognition method Download PDFInfo
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- CN104284149A CN104284149A CN201410419200.0A CN201410419200A CN104284149A CN 104284149 A CN104284149 A CN 104284149A CN 201410419200 A CN201410419200 A CN 201410419200A CN 104284149 A CN104284149 A CN 104284149A
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Abstract
The invention discloses an electric line dangerous source point oversize vehicle shape change detection video recognition method. The method comprises the steps that video images collected by a front end camera are decompressed and resolved into YUV pictures; the YUV pictures are transformed into RGB pictures; the later frames of pictures are compared with the previous frames of pictures, the background environment is updated in real time through self-learning, and moving target objects, specifically oversize dangerous vehicles, are drawn out of background environment; after the target objects are targeted, gray level calculation is conducted on the oversize dangerous vehicles, and recognition and alarming are conducted after the oversize dangerous vehicles stay at the positions of dangerous source points and have shape changes. By means of the electric line dangerous source point oversize vehicle shape change detection video recognition method, the situation of the body changes of the oversize dangerous vehicles at the electric line dangerous source points can be conveniently recognized in time; the electric line dangerous source points can be uninterruptedly monitored in 7*24 hours, the external force destructive incidents brought by the negligence of people can be excluded, and a third line of defense for preventing external deconstruction is formed.
Description
Technical field
The present invention relates to a kind of electric line hazard Identification oversize vehicle body shape changes detecting video frequency identifying method.
Background technology
For electric power facility, how by analyzing electric line hazard Identification oversize vehicle body shape changes situation, being the target of technical staff's long-sought, not having desirable method yet so far.
Summary of the invention
The object of the present invention is to provide convenient, the timely electric line hazard Identification oversize vehicle body shape changes detecting video frequency identifying method that electric line hazard Identification oversize vehicle body shape changes situation is identified of a kind of energy.
Technical solution of the present invention is:
A kind of electric line hazard Identification oversize vehicle body shape changes detecting video frequency identifying method, is characterized in that: concrete steps:
(1) video image is gathered by front-end camera;
(2) decompress gathering the video image of returning, and resolve into the YUV picture of intellectual analysis needs;
(3) YUV picture is converted to RGB picture;
25 frame RGB pictures can be resolved into (4) one seconds, then therefrom randomly draw 10 frames and carry out analysis contrast;
(5) a rear frame picture and former frame picture are contrasted, and utilize self study, real-time update background environment, therefrom detach moving target object-refer in particular to large-scale hazardous vehicles;
(6) after locking onto target object, gray scale calculating is carried out to large-scale hazardous vehicles, when large-scale hazardous vehicles stops in hazard Identification position, and give to identify after there is body shape changes and report to the police.
The present invention can facilitate, identify electric line hazard Identification oversize vehicle body shape changes situation in time; Rest on electric line hazard Identification region by the large-scale hazardous vehicles of the continual detection of intelligent video monitoring and whether have body shape changes, can realize the continual monitoring in 7x24 hour of electric line hazard Identification, get rid of the outside destroy event because human negligence brings, form anti-outer broken three lines of defence.Being mainly used in intelligent video analysis, whether have body shape changes, whether cause potential safety hazard to electric line if detecting the large-scale hazardous vehicles resting on electric line hazard Identification region.
Below in conjunction with embodiment, the invention will be further described.
Embodiment
A kind of electric line hazard Identification oversize vehicle body shape changes detecting video frequency identifying method, is characterized in that: concrete steps:
(1) video image is gathered by front-end camera;
(2) decompress gathering the video image of returning, and resolve into the YUV picture of intellectual analysis needs;
(3) YUV picture is converted to RGB picture;
25 frame RGB pictures can be resolved into (4) one seconds, then therefrom randomly draw 10 frames and carry out analysis contrast;
(5) a rear frame picture and former frame picture are contrasted, and utilize self study, real-time update background environment, therefrom detach moving target object-refer in particular to large-scale hazardous vehicles;
(6) after locking onto target object, gray scale calculating is carried out to large-scale hazardous vehicles, when large-scale hazardous vehicles stops in hazard Identification position, and give to identify after there is body shape changes and report to the police.
Electric line hazard Identification oversize vehicle body shape changes detects intelligent video recognition methods with intelligent image analytical technology for core, so-called intelligent image analytical technology uses computer picture Visual analysis techniques exactly, by background in scene being separated with target and then analyzing and follow the trail of the target occurred in camera scene, after determining target, target object body identified and gray scale is calculated, finally determining whether the oversize vehicle resting on hazard Identification region has body shape changes.
The picture breakdown of front-end camera collection is become 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 rear image of a frame and the image of former frame are contrasted, and utilize the slight change of automatic learning scene, thus set up and safeguard the background environment of a real-time update, this background environment can slight change environmentally and changing.Again the thing beyond background is therefrom detached, thus form the object on picture.Because every sample object can detach from background, and object pixel coordinate corresponding in picture can be provided, we just can calculate its gray scale according to its coordinate position, and whether detect the large-scale hazardous vehicles rested in hazard Identification region has body shape changes.
Claims (1)
1. an electric line hazard Identification oversize vehicle body shape changes detecting video frequency identifying method, is characterized in that: concrete steps:
(1) video image is gathered by front-end camera;
(2) decompress gathering the video image of returning, and resolve into the YUV picture of intellectual analysis needs;
(3) YUV picture is converted to RGB picture;
25 frame RGB pictures can be resolved into (4) one seconds, then therefrom randomly draw 10 frames and carry out analysis contrast;
(5) a rear frame picture and former frame picture are contrasted, and utilize self study, real-time update background environment, therefrom detach moving target object-refer in particular to large-scale hazardous vehicles;
(6) after locking onto target object, gray scale calculating is carried out to large-scale hazardous vehicles, when large-scale hazardous vehicles stops in hazard Identification position, and give to identify after there is body shape changes and report to the police.
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CN201410419200.0A CN104284149A (en) | 2014-08-25 | 2014-08-25 | Electric line dangerous source point oversize vehicle shape change detection video recognition method |
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CN201410419200.0A CN104284149A (en) | 2014-08-25 | 2014-08-25 | Electric line dangerous source point oversize vehicle shape change detection video recognition method |
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CN105025263A (en) * | 2015-07-10 | 2015-11-04 | 国家电网公司 | Large-size vehicle positioning method for power transmission and distribution line channel |
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 |
CN105022996A (en) * | 2015-07-10 | 2015-11-04 | 国家电网公司 | Intelligent concrete pump truck video identification method for power transmission and distribution line channel |
CN105160363A (en) * | 2015-07-10 | 2015-12-16 | 国家电网公司 | Power transmission and distribution line channel color steel tile floater intelligent video identification method |
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105025263A (en) * | 2015-07-10 | 2015-11-04 | 国家电网公司 | Large-size vehicle positioning method for power transmission and distribution line channel |
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 |
CN105022996A (en) * | 2015-07-10 | 2015-11-04 | 国家电网公司 | Intelligent concrete pump truck video identification method for power transmission and distribution line channel |
CN105160363A (en) * | 2015-07-10 | 2015-12-16 | 国家电网公司 | Power transmission and distribution line channel color steel tile floater intelligent video identification method |
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Application publication date: 20150114 |