Extraction of Faces of More Than One Person From Natural Background Based on The Certainty Level Given to The Face Like Area

Abstract

In general, it is very difficult to extract human faces from a natural background. In conventional methods, several conditions, such as the number of people included in a picture, the size of a face or the texture of the background are assumed. In this paper, the extracting method of faces from more than one person’s facial area with a natural background is presented, however, in the proposed method, such conditions described above are not supposed. In this system, a facial area is extracted using only the information of skin color at the first frame. After the second frame, the facial area is extracted based on the moving information of a face in addition to the color information.
Computer simulation using 605 frames shows more than 85% extracting accuracy. From the experimental results, the prospects of using this method for the human face identification, image coding or the recognition of facial expressions are very encouraging.