Title: Color image face detection based on skin color and AdaBoost algorithm
Abstract: As skin color detection had high false acceptance rate in color image with complex background and AdaBoost algorithm did not work well in multi-pose and multi-face images,this paper proposed a novel face detection method combined skin color detection and AdaBoost algorithm.Skin color segmentation and morphological operators were used to detect skin regions.These regions were filtered in terms of the statistical characteristics of human face to form candidate face regions.Then these regions were scanned by cascade classifier based on AdaBoost for more accurate face detection.The experimental results show that the new approach can detect face with high detection rate and low false acceptance rate and performance better than skin color detection and AdaBoost algorithm.It can be effectively applied to the cases of multi-pose and multi-face images.
Publication Year: 2007
Publication Date: 2007-01-01
Language: en
Type: article
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Cited By Count: 4
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