Video Analysis System of Intelligent Surveillance Based on Bayesian

摘要：

Intelligent video surveillance system has good application prospect in security field, the detection, tracking and classification of target are key parts of the system. To achieve target detection, this paper applies Bayesian model for tracking and classification of target, Bayesian theorem provides probability judgment means, the hypothesis examination variables follow probability distribution, these probability and observation data are inferenced in order to make the best decisions, and which can track moving targets which are in the prospects region and the background. The results have shown that the system can be used for indoor tracking of target detection and classification, and can quickly detect, track and make classification of moving targets.

关键词： Bayesian model intelligent surveillance video data analysis

作者: Zhang Genshan Wu Qiuhong Geng Kai Han Guodong

作者单位: School of Literature and Media Transmission Shijiazhuang University Shijiazhuang, China Modern Education Technology Center Shijiazhuang University of Economics Shijiazhuang, China

会议类型: 国际会议

会议名称: 2011 International Conference on Computer Science and Network Technology(2011计算机科学与网络技术国际会议 ICCSNT 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 1008-1011

在线出版日期: 2011-12-24（万方平台首次上网日期，不代表论文的发表时间）