14 December 2015 A risk-based coverage model for video surveillance camera control optimization
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Proceedings Volume 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 98151B (2015) https://doi.org/10.1117/12.2204910
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China
Abstract
Visual surveillance system for law enforcement or police case investigation is different from traditional application, for it is designed to monitor pedestrians, vehicles or potential accidents. Visual surveillance risk is defined as uncertainty of visual information of targets and events monitored in present work and risk entropy is introduced to modeling the requirement of police surveillance task on quality and quantity of vide information. the prosed coverage model is applied to calculate the preset FoV position of PTZ camera.
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Hongzhou Zhang, Hongzhou Zhang, Zhiguo Du, Zhiguo Du, Xingtao Zhao, Xingtao Zhao, Peiyue Li, Peiyue Li, Dehua Li, Dehua Li, } "A risk-based coverage model for video surveillance camera control optimization", Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 98151B (14 December 2015); doi: 10.1117/12.2204910; https://doi.org/10.1117/12.2204910
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