Moving Object Segmentation in H.264/AVC Compressed Domain Using Ant Colony Algorithm

摘要：

This paper presents a novel approttch for moving object segmentation in the H.264/AVC compressed domain, which based on ant colony clustering algorithm. Firstly, the motion vector (MV) field is extracted from the H.264/AVC compressed video, and then merges motion vectors with the same characteristic. Secondly, an improved ant colony clustering algorithm is used to classify the MV field into different motion homogenous regions. Finally. the orientation histogram of the MV field and the final cluster centers are exploited to determine the moving object regions. Experimental results for several video sequences demonstrate that the proposed approach can extract moving object effectively.

关键词： H.264/AVC moving object segmentation movtion vector ant colony algorithm

作者: Wang Pei Wu Zhixia

作者单位: College of informatiom mechanical & electrical engineering Shanghai Normal University Shanghai,China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 1556-1559

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）