復雜背景下基于時間差分的人臉檢測算法

本文主要結(jié)合序列圖像的運動信息和膚色信息進行復雜背景下的人臉檢測。首先利用連續(xù)三幀間的運動信息進行粗檢測，采用自適應閾值法從差分圖像中提取出運動區(qū)域，再對差分圖像進行相與操作，限制搜索范圍；然后利用人臉膚色信息，在YCbCr色彩空間內(nèi)檢測出膚色區(qū)域；最后利用人臉的幾何特征信息對膚色區(qū)域作進一步驗證，得到精確人臉。該方法綜合了幀間和幀內(nèi)的分析結(jié)果，實現(xiàn)簡單、高效。實驗證明，在復雜背景下對光照和其他噪聲有較好的魯棒性。
關(guān)鍵詞：人臉檢測；時間差分；運動信息；膚色特征
Abstract: A method of combining motion and skin-color information of successive images to detect faces in complex background is presented. First, the motion information between three continuous frames is used for coarse detection to obtain the difference images, from which the motion areas can be detected by self-adaptive threshold method, and then take and operation to limit the searching range. Second, the skin-color areas are detected in YCbCr color-space. Finally, geometry feature information is used to further validate the skin-color areas, which can obtain the fine face. This method combines the inter-frame and intra-frame processing, which is simple and effective to realize, and is proved to be robust to illumination and other noises in complex background.
Keywords: Face Detection；Time Difference；Motion Information；Skin-color Feature