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    题名: An Improved CAMSHIFT Tracking Algorithm Applying on Surveillance Videos
    作者: Yen, Shwu-huey;Chien, Jui-Chen;Lin, Hsiao-Tsung
    贡献者: 淡江大學資訊工程學系
    关键词: tracking;mean shift;camshift;flooding;surveillance
    日期: 2013-03
    上传时间: 2013-03-15 18:41:18 (UTC+8)
    出版者: Trans Tech Publications Inc
    摘要: In this paper, we present an improved version of CAMSHIFT algorithm applying on surveillance videos. A 2D, hue and brightness, histogram is used to describe the color feature of the target. In this way, videos with poor quality or achromatic points can be characterized better. The flooding process and contribution evaluation are executed to obtain a precise target histogram which reflects true color information and enhances discrimination ability. The proposed method is compared with existing methods and shows steady and satisfactory results.
    關聯: Proceeding of KEMCS 2013
    显示于类别:[資訊工程學系暨研究所] 會議論文

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    Camshift Tracking (KEMCS2013) PaperID_251.pdf481KbAdobe PDF382检视/开启

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