Block Characteristic Based Moving Object Segmentation in the H.264 Compressed Domain

摘要：

An improved moving object segmentation approach which extracted motion field from H.264 compressed domain is proposed. Pre-treatments such as vector median filtering and forward block vector accumulation are used to obtain more obvious motion field. Then mix and hierarchical clustering algorithm based on improved k-means and EM is exploited to segment the moving on the macro-block level and on the block level. Experimental results demonstrate that this approach further improves the efficiency of the segmentation by hierarchical clustering. It provides satisfactory real-time segmentation results and good segmentation quality.

作者: Pei Wang Jun Wang

作者单位: College of Mechanical and Electronic Engineering, Shanghai Normal University Shanghai, Shanghai 200234

会议类型: 国际会议

会议名称: 2010 International Conference on Audio,Language and Image Processing(2010年音频、语言与图像处理国际会议 ICALIP 2010)

会议地点: 上海

会议语种:英文

页码: 643-647

在线出版日期: 2010-11-23（万方平台首次上网日期，不代表论文的发表时间）