OBJECT TRACKING BY APPLYING MEAN-SHIFT ALGORITHM INTO PARTICLE FILTERING

摘要：

In the pursuit of robust object tracking ， both particle filter and mean-shift algorithm have proven successful approaches. Also both of them have weaknesses. The article presents the integration of mean-shift algorithm with particle filtering during the moving object tracking. In our method Meanshift algorithm is used in the sampling steps of particle filtering, which efficiently reduces the number of sampled particles. That integrates the advantages of mean-shift algorithm and particle filtering. When applied in the moving object tracking, our method proved to be more robust and time saving compared with the conventional particle filtering and mean shift algorithm.

关键词： object tracking particle filtering meanshift algorithm

作者: Wang Hongling Yang Bo Tian Guodong Men Aidong

作者单位: Laboratory of Broadband Multimedia Communication,Beijing University of Posts and Telecommunications, Beijing

会议类型: 国际会议

会议名称: 2009 2nd IEEE International Conference on Broadband Network & Multimedia Technology(2009年宽带网络与多媒体国际会议 IEEE IC-BNMT2009)

会议地点: 北京

会议语种:英文

页码: 550-554

在线出版日期: 2009-10-18（万方平台首次上网日期，不代表论文的发表时间）