A Robust Hand Detection Method Based on Skin Probability Map
Abstract 現有的手部檢測方法通常採用HAAR和HOG描述符來實現，缺乏對複雜背景和實際應用中照明條件變化的魯棒性。 本文提出了一種基於皮膚概率圖（SPM）而非傳統灰度圖像空間的魯棒手部檢測方法。結果表明，在所生成的SPM圖像中，手部區域可以得到很好的增強，背景區域可以被抑制。然後分別從皮膚掩模和概率圖中計算出HAAR特徵和HOG特徵，稱爲皮膚增強特徵。在滑動窗口搜索階段，提出了一種高效的三
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相關文章
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