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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/77670


    Title: 基於 Kinect之靜/動態機車車牌辨識
    Authors: 謝景棠;陳家豪;吳業寬;張量鈞
    Contributors: 淡江大學電機工程學系
    Keywords: Kinect;深度資訊;定位;SURF
    Date: 2012-06-16
    Issue Date: 2012-07-01 21:31:06 (UTC+8)
    Publisher: National Taiwan Ocean University
    Abstract: 在本論文中,我們提出基於 Kinect之靜/動態車牌偵測與 SURF 之辨識系統,能節省人力並有效解決車牌歪斜校正、複雜背景以及多車牌辨識問題。本系統分為深度資訊、車牌定位、SURF 特徵擷取與辨識三個階段處理。首先,利用 Kinect 深度資訊去除複雜背景並分辨機車數量;再使用閥值定位具有車牌之影像。最後用 SURF 做特徵擷取與比對,顯示出與資料庫相符的車牌資訊。待測之機車車牌分為靜態與動態兩種狀況。本系統可節省人力並適用於日夜間且準確即時的辨識機車車牌。
    Relation: Proceedings of 2012 National Symposium on System Science and Engineering, pp.905-908
    Appears in Collections:[電機工程學系暨研究所] 會議論文

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