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基于图像处理的变电站视频智能分析研究

朱红岷 戴道清 李静正

计算机工程与应用2018,Vol.54Issue(7):264-270,7.
计算机工程与应用2018,Vol.54Issue(7):264-270,7.DOI:10.3778/j.issn.1002-8331.1611-0212

基于图像处理的变电站视频智能分析研究

Research of intelligent video analysis in transformer substation based on image processing

朱红岷 1戴道清 2李静正1

作者信息

  • 1. 中山大学 数学学院,广州510220
  • 2. 珠海优特电力科技股份有限公司 博士后工作站,广东 珠海519000
  • 折叠

摘要

Abstract

Targeted on unattended operation requirements of video surveillance in power systems,a research and imple-mentation solution of Intelligent Video Analysis(IVA)system based on image processing techniques is proposed.HD real-time video streams are analyzed through image processing and feature extraction techniques such as connected component analysis,code mapping,Hough line detection,contour detection,Gaussian mixture foreground detection and cvBlob tracking.Several functionalities related to device state recognition and security abnormal identification are imple-mented in proposed IVA system.The experimental results verify the efficiency and accuracy of each functionality,and outperform state of the art methods in relevant literature to indicate the improvement.

关键词

变电站高清视频监控/视频智能分析/设备状态识别/安防异常识别

Key words

substation HD video surveillance/Intelligent Video Analysis(IVA)/device state recognition/security abnormal identification

分类

信息技术与安全科学

引用本文复制引用

朱红岷,戴道清,李静正..基于图像处理的变电站视频智能分析研究[J].计算机工程与应用,2018,54(7):264-270,7.

计算机工程与应用

OA北大核心CSCDCSTPCD

1002-8331

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