A Combination of New Static Detection and Dynamic Detection in People Counting

摘要：

with the improvement of the intelligence degree of video surveillance system, the people-counting in surveillance area becomes a studying focus. This paper proposes a fast and effective people-counting method. In this method, we divide the monitoring area into blocks at first, and then we recognize people in each block and combine both the static detection and the dynamic detection. In the static detection part, we use covariance algorithm to avoid factitious adjustment of threshold. As a result, it will be more persuasive by comparing the entire difference distributions. What is more, some interference of non-human objects can be excluded effectively by using the dynamic detection. Therefore we can get a more accurate final result.

关键词： background subtraction frame subtraction area division static detection covariance algorithm dynamic detection

作者: Xuan Zhou Shan Xu

作者单位: School of Information and Communications Beijing University of Posts and Telecommunications (BUPT) Beijing, 100876, China

会议类型: 国际会议

会议名称: 2012 International Conference on Measurement,Information and Control(2012测量、信息与控制国际会议 ICMIC2012)

会议地点: 哈尔滨

会议语种:英文

页码: 605-609

在线出版日期: 2012-05-18（万方平台首次上网日期，不代表论文的发表时间）