A Novel Object Tracking Algorithm Based On Point Pattern Matching

摘要：

this paper proposes a novel point pattern matching algorithm. Compared with most published works, the proposed algorithm is characterized by its outstanding real time performance, making it the only applicable algorithm for object tracking among the existing ones. Evolved with the definition of point pattern matching, analyzing the object tracking task, it presents a specific description of the novel algorithm. The experimental results validate its real time performance and robustness.

关键词： point pattern matching object tracking algorithm

作者: Fan Mo Haodong Pei Shuying Li Dan Li Baorong Xie Wei Zhou

作者单位: Shanghai Institute of Technical Physics of The Chinese Academy of Sciences Shanghai, China Shanghai Institute of Technical Physics of The Chinese Academy of Sciences Shanghai,China

会议类型: 国际会议

会议名称: Second International Symposium on Information Science and Engineering(第二届信息科学与工程国际会议)

会议地点: 上海

会议语种:英文

页码: 455-459

在线出版日期: 2009-12-26（万方平台首次上网日期，不代表论文的发表时间）