A face detection method using statistical skin-color model and facial feature matching is presented in this paper. According to skin-color distribution in YUV color space,we develope a statistical skin-color model thr...A face detection method using statistical skin-color model and facial feature matching is presented in this paper. According to skin-color distribution in YUV color space,we develope a statistical skin-color model through interactive sample training and learning. Using this method we convert the color image to binary image and then segment face-candidate regions in the video images. In order to improve the quality of binary image and remove unwanted noises ,filtering and mathematical morphology are empolied. After these two processing,we use facial feature matching for further detection. The presence or absence of a face in each region is verified by means of mouth detector based on a template matching method. The experimental results show the proposed method has the features of high speed and high efficiency,but also robust to face variation to some extent. So it is suitable to be applied to real-time face detection and tracking in video sequences.展开更多
文摘A face detection method using statistical skin-color model and facial feature matching is presented in this paper. According to skin-color distribution in YUV color space,we develope a statistical skin-color model through interactive sample training and learning. Using this method we convert the color image to binary image and then segment face-candidate regions in the video images. In order to improve the quality of binary image and remove unwanted noises ,filtering and mathematical morphology are empolied. After these two processing,we use facial feature matching for further detection. The presence or absence of a face in each region is verified by means of mouth detector based on a template matching method. The experimental results show the proposed method has the features of high speed and high efficiency,but also robust to face variation to some extent. So it is suitable to be applied to real-time face detection and tracking in video sequences.
