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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/59940

    题名: Motion Extrapolation via Human Motion Analysis
    作者: Tsai, Joseph C.;Hsu, Hui-Huang;Chang, Shih-Ming;Wang, Ying-Hong;Chao, Chia-Cheng;Shih, Timothy K.
    贡献者: 淡江大學資訊工程學系
    关键词: Motion analysis;Object tracking;Object segmentation;Motion extrapolation
    日期: 2010-03
    上传时间: 2011-10-05 22:28:55 (UTC+8)
    出版者: Paramus: Rinton Press, Inc.
    摘要: We propose a novel motion analysis algorithm by using the mean-shift segmentation and motion estimation technique. Mean shift algorithm is frequently used to extract objects from video according to its efficiency and robustness of non-rigid object tracking. For diminishing the computational complexity in searching process, an efficient block matching algorithm: cross-diamond-hexagonal search algorithm was used. In the motion analysis procedure, the stick figure of object obtained by thinning process is treated as guidance to gather the statistics of motion information. The experimental results show that the proposed method can provide precise description of the behavior of object in several video sequences and extrapolate human motion seamlessly by combining different motion clips obtained from other video sequences.
    關聯: Journal of Mobile Multimedia 6(1), pp.63-72
    显示于类别:[資訊工程學系暨研究所] 期刊論文





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