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Proceedings Paper

A risk-based coverage model for video surveillance camera control optimization
Author(s): Hongzhou Zhang; Zhiguo Du; Xingtao Zhao; Peiyue Li; Dehua Li
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Paper 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.

Paper Details

Date Published: 14 December 2015
PDF: 6 pages
Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 98151B (14 December 2015); doi: 10.1117/12.2204910
Show Author Affiliations
Hongzhou Zhang, Huazhong Univ. of Science and Technology (China)
People's Public Security Univ. of China (China)
Zhiguo Du, People's Public Security Univ. of China (China)
Beijing Univ. of Posts and Telecommunications (China)
Xingtao Zhao, People's Public Security Univ. of China (China)
Peiyue Li, People's Public Security Univ. of China (China)
Dehua Li, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9815:
MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Jianguo Liu; Hong Sun, Editor(s)

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