Face detection from a video camera image sequence
Face detection is a key problem in building automated systems that perform face recognition. In this sense, a very attractive approach for face detection based on motion detection is presented. Motivated by the simplicity of this approach, a rule-based face detection algorithm in frontal views is developed. The proposed algorithm has been applied to frontal views extracted from our own database that contains the video sequences of 30 different persons, (at this time) taken by a digital camera. The image is obtained, by the reflecting light of the human face, when illuminated with a weak light source.