Fast and automatic video object segmentation and tracking for content-based applications 论文

2002IEEE Transactions on Circuits and Systems for Video Technology引用 307
Advanced Vision and ImagingAdvanced Image and Video Retrieval TechniquesVideo Analysis and Summarization

详细信息

发表期刊/会议
IEEE Transactions on Circuits and Systems for Video Technology
发表日期
2002-01-01
发表年份
2002

关键词

Advanced Vision and ImagingAdvanced Image and Video Retrieval TechniquesVideo Analysis and Summarization

摘要

The new video-coding standard MPEG-4 enables content-based functionality, as well as high coding efficiency, by taking into account shape information of moving objects. A novel algorithm for segmentation of moving objects in video sequences and extraction of video object planes (VOPs) is proposed . For the case of multiple video objects in a scene, the extraction of a specific single video object (VO) based on connected components analysis and smoothness of VO displacement in successive frames is also discussed. Our algorithm begins with a robust double-edge map derived from the difference between two successive frames. After removing edge points which belong to the previous frame, the remaining edge map, moving edge (ME), is used to extract the VOP. The proposed algorithm is evaluated on an indoor sequence captured by a low-end camera as well as MPEG-4 test sequences and produces promising results.