AUTOMATIC VIDEO OBJECT SEGMENTATION USING WAVELET TRANSFORM AND MOVING EDGE DETECTION

摘要：

A fast and automatic video object segmentation algorithm based on wavelet transform and moving edge detection is proposed in this paper. First, the wavelet transform is applied to two consecutive frames. The change detection method with different thresholds in four wavelet sub-bands and Canny edge detection are used in wavelet domain. After the inverse wavelet transform, the robust difference edge map can be obtained. Through combination with the current frame edge map, background edge map and previous frames moving edge, the current frames moving edge can be detected andtracked. It is then used to extract video object plane (VOP) by a simple filling technique. The proposed algorithm is robust to the entire motion and local deformation of object.Experiments results and object evaluation demonstrate the effectiveness of our algorithm.

关键词： Video object Wavelet transform Change detection Binary edge model Video object plane (VOP)

作者: XIAO-YAN ZHANG RONG-CHUN ZHAO

作者单位: College of Computer, Northwestern Polytechnical University, Xian 710072, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 3929-3933

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）