In this paper, a new algorithm for extracting a human face and facial parts from images based on skin color and motion information, and the extracting method of motion information of the eye and mouth regions are presented. For the efficient extraction of the face area, two cases are assumed. If the moving area is large, the facial area is extracted based on moving area and color information. On the contrary, it is judged that no movement exists when the moving area is small, the facial area is extracted based on the facial area which has already been extracted in the previous frame. For precise recognition of facial expressions, we propose a new scheme for extracting an opening and closing ratio of the eyes and mouth, and the efficacy of the proposed method is examined experimentally using several images.
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