Implementation and Analysis of Moving Objects Detection in Video Surveillance

摘要：

With the rapid development of science and technology and with the continuous improvement of people’s safe sense, Video Surveillance System has already been widely used in several fields, such as military affairs, production, daily life and so on. As the most basic and important part of Video Surveillance System, the detection of moving objects has been paid more attention. Therefore, this paper mainly implements and analyzes several commonly used methods for moving object detection in Video Surveillance System, such as temporal difference, median filtering and Single Gaussian model. The advantages and disadvantages of the methods are pointed out to help people make choices in applications.

关键词： moving object detection temporal difference background subtraction median filtering Single Gaussian model

作者: Henan Guo Yanchun Liang Zhezhou Yu Zhen Liu

作者单位: College of Computer Science & Technology Jilin University 2699 Qianjin Street,Changchun 130012,China Graduate School of Engineering Nagasaki Institute of Applied Science 536 Aba-machi,Nagasaki 851-0193

会议类型: 国际会议

会议名称: 2010 IEEE信息与自动化国际会议(ICIA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 1-5

在线出版日期: 2010-06-20（万方平台首次上网日期，不代表论文的发表时间）