The research and implementation of face detection and recognition based on video sequences

The detection and recognition of motive human face in video sequences is one of the international research hotspot currently. In order to achieve a face recognition system based on video, this paper used the method of difference in background images and the Kalman filter to track and extract the region of human body firstly, and then used the AdaBoost algorithm to detect human face in the region. Finally the improved Hidden Markov Model which is named as Pseudo-two-dimensional Hidden Markov Model was used for feature extraction and recognition in face image. In addition the effect of recognition was tested.