MOTION INTERPOLATION BY MEAN SHIFT SEGMENTATION AND MOTION ANALYSIS

摘要：

We propose a novel motion interpolation algorithm by using the mean-shift segmentation and motion analysis technique. Mean shift segmentation is frequently used to extract objects from video according to its efficiency and robustness of non-rigid object tracking. For diminishing the computational complexity in motion estimation and object tracking process, an efficient block matching algorithm: cross-diamond-hexagonal search algorithm was used. In the motion analysis procedure, the stick figure of object obtained by thinning process is considered as guidance to gather the statistics of motion information. The model of new behavior of object is produced by motion analysis and used as an input to our motion interpolation procedure. The experimental results show that the proposed method changes the behavior of the behavior of object in several video sequences.

关键词： Mean shift Motion estimation Object tracking

作者: Nick C. Tang Joseph C. Tsai Chun-Yu Lin Timothy K. Shih

作者单位: Department of Computer Sci.And Information Engineering Tamkang University

会议类型: 国际会议

会议名称: The First IEEE International Conference on Ubi-Media Coputing and Workshops(第一届泛媒体处理国际会议)

会议地点: 兰州

会议语种:英文

在线出版日期: 2008-07-15（万方平台首次上网日期，不代表论文的发表时间）