Visual Tracking via Particle Filtering on the Af .ne Group

摘要：

We propose a particle filtering-based visual tracker, in which the affine group is treated as the state.We .rst develop a general particle filtering algorithm that explicitly takes into account the geometry of the affine group.The tracking performance is further enhanced by the geometric auto-regressive process used for the state dynamics,combined state-covariance estimation,and robust measurement likelihood calculation using the incremental principal geodesic analysis of the image covariance descriptors.The feasibility of our proposed visual tracker is demonstrated via experimental studies.

关键词： Visual tracking particle filtering affine group principal geodesic analysis

作者: Junghyun Kwon Frank C.Park

作者单位: School of Mechanical and Aerospace Engineering Seoul National University Seoul 151-742,Korea

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 997-1002

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）