Risk Entropy Model of Public Security Video Surveillance System

Abstract

—From the point of view of the demand of public security application for video information application, this paper compares the characteristics of traditional video surveillance system with that of urban public security video surveillance system, analyses the factors affecting the effectiveness evaluation of video surveillance system, and puts forward the evaluation index set for evaluating video information collection. On this basis, this paper establishes a risk entropy model of public security video surveillance system, and divides the risk of application of video surveillance system into the risk related to fixed target, the risk related to moving target and the risk related to image information quality satisfaction. Among them, the risk related to the moving target can be further divided into the self-risk of the target and the coupling risk between the goals, which are often related to the occurrence of the case or event. The risk entropy model of video surveillance proposed in this paper can be used to evaluate the application efficiency of video surveillance system and guide the layout of video surveillance system in a region.