Human Tracking Method Based on Maximally Stable Extremal Regions with Multi-cameras

摘要：

　　With respect to the human tracking with multi-cameras in the video surveillance system,a human tracking method based on MSER (Maximally Stable Extremal Regions) was established.The approach transforms the human tracking into elliptic region matching.The method does elliptic region fitting to each MSER,and then selects the elliptic regions which meet some constraints.These selected elliptic regions are normalized to unity circular regions.The right matched elliptic regions are gotten by rotational invariant vectors calculation,histogram density estimation and weighted average distance calculation.Experimental results show that the approach can effectively realize the human tracking with multi-cameras.

关键词： Human tracking Video surveillance MSER Region matching

作者: Li Zhang Guojun Dai Changjun Wang

作者单位: School of Computer Science, Hangzhou Dianzi University, Hangzhou,Zhejiang, 310018, China

会议类型: 国际会议

会议名称: the 2010 International Conference on Frontiers of Manufacturing and Design Science(第一届制造与设计科学国际会议(ICFMD 2010))

会议地点: 重庆

会议语种:英文

页码: 3681-3686

在线出版日期: 2010-12-11（万方平台首次上网日期，不代表论文的发表时间）