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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/83262


    Title: An Improved CAMSHIFT Tracking Algorithm Applying on Surveillance Videos
    Authors: Yen, Shwu-huey;Chien, Jui-Chen;Lin, Hsiao-Tsung
    Contributors: 淡江大學資訊工程學系
    Keywords: tracking;mean shift;camshift;flooding;surveillance
    Date: 2013-03
    Issue Date: 2013-03-15 18:41:18 (UTC+8)
    Publisher: Trans Tech Publications Inc
    Abstract: 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.
    Relation: Proceeding of KEMCS 2013
    Appears in Collections:[資訊工程學系暨研究所] 會議論文

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