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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/72170

    Title: 複雜背景之 3 維深度手勢辨識與追蹤;Three-Dimensional Hand Recognition and Tracking with Depth Information under Complicated Environments
    Authors: 章坤瀧;Zhang,Kung-Long
    Contributors: 電機工程學系
    Keywords: 手勢辨識;雙鏡頭深度;動態手勢
    Date: 2016-07-21
    Issue Date: 2016-10-13 14:29:57 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 隨著近幾年來浮空手勢操作的發展,人們逐漸從傳統鍵盤與滑鼠
    向移動功能準確率 93.7%,深度推拉功能準確率 95.6%,手勢旋轉功
    能準確率 94.5%,動態手勢準確率 85.92%。;Accompany with mid-air control system have been developed in
    recent years, people gradually change their usage from tradition
    keyboard and mouse to the intuitive manner, like hand gesture control.
    This thesis proposed a hand recognition and tracking with depth
    information. We use stereo camera to capture stereo image and
    calculate depth map. The system not only can provide depth
    information but also can work under critical backgrounds.
    Most methods of hand detection apply skin filter or motion filter
    as one of pre-processing. However, only applying skin filter or motion
    filter as segmentation step can’t maintain system function correct
    while background pixels are close to skin color. In the proposed, we
    adopt adaptive depth filter which can separate foreground which
    improve performance on tracking algorithm. We also proposed
    dynamic gesture recognition by using depth data. Our accuracy of
    direction function is 93.7%, accuracy of push/pull function is 95.6%,
    accuracy of rotation function is 93.7%, accuracy of dynamic function
    is 85.92%.
    Appears in Collections:[電機工程研究所] 博碩士論文

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