中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Application of target tracking and abnormal target detection algorithm in power network security

文献类型:会议论文

作者Yang, Xianwei1,2; Wang, Weifeng1
出版日期2020
会议日期2019-12-12
会议地点Hangzhou, China
关键词high-energy lasers target tracking abnormal target detection
卷号11373
DOI10.1117/12.2557202
英文摘要

Targets such as plastic bags can absorb a lot of high-energy lasers which fired from the laser in a long distance. By aligning the laser center with the optical center of the high definition camera, we can determine that the laser emission point is located at the center of video. We can adjust the angle and position of the camera to make the video center coincide with the target, and finally accurately clean up the target from a long distance. In the process of video, this paper uses the target tracking algorithm based on template and the abnormal target detection method based on inter-frame difference. After we lock the target to be cleaned in a frame, the system can automatically calculate the angle and distance if the target swings in the wind, and send the corresponding motion command to the rotating device which can drive the camera to move, finally realize the target tracking and cleaning. Abnormal target detection algorithm is used to monitor the designated area near the target while emitting high-energy laser. When abnormal target such as human is found to enter, protection mechanism is triggered in time to turn off laser which can prevent dangerous accidents. © 2019 SPIE.

产权排序1
会议录Eleventh International Conference on Graphics and Image Processing, ICGIP 2019
会议录出版者SPIE
语种英语
ISSN号0277786X;1996756X
ISBN号9781510635234
源URL[http://ir.opt.ac.cn/handle/181661/93272]  
专题西安光学精密机械研究所_瞬态光学技术国家重点实验室
作者单位1.Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, China;
2.University of Chinese Academy of Sciences, China
推荐引用方式
GB/T 7714
Yang, Xianwei,Wang, Weifeng. Application of target tracking and abnormal target detection algorithm in power network security[C]. 见:. Hangzhou, China. 2019-12-12.

入库方式: OAI收割

来源:西安光学精密机械研究所

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