Image sequence segmentation via heuristic texture analysis and region tracking

Yih H. Jan*, David W. Lin


    研究成果: Conference article同行評審

    1 引文 斯高帕斯(Scopus)


    We develop a method for automatic segmentation of natural video sequences. The method is based on low-level spatial and temporal analyses. It features three designs to help facilitate good region segmentation while keeping the computational complexity at a reasonable level. Firstly, a preliminary seed-area identification and a final re-segmentation process are performed on each video frame to help region tracking. Secondly, a simple way to measure homogeneity of texture in a region is devised and the segmentation tries to locate object boundaries at where the texture shows significant changes. And thirdly, a reduced-complexity motion estimation technique is used, so that dense motion fields can be computed at a reasonable complexity. The overall method is organized into four tasks, namely, seed-area identification (for each frame), initial segmentation (only for the first frame in the sequence), motion-based segmentation (for all later frames), and region tracking and updating (also for all later frames). Some examples are provided to illustrate the performance of this method.

    頁(從 - 到)543-551
    期刊Proceedings of SPIE - The International Society for Optical Engineering
    4671 II
    出版狀態Published - 2002
    事件Viual Communications and Image Processing 2002 - San Jose, CA, United States
    持續時間: 21 1月 200223 1月 2002


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