关键词: 扩展C型HMM模型, 视频人脸识别, 状态空间隐射

Abstract: In order to improve the problem that the performance of video face recognition system is largely influenced by the non-restraint environment, the HMM model is extended by adding the state centre parameter C, and the mapping algorithm on state space is based on facial features, which make the pattern distances smaller, the class distances larger, and improve the system’s robustness. The experimental results have indicated that this model improves the recognition accuracy and anti-jamming to the video frequency sequence.

Key words: Extended C HMM, video facial recognition, state space mapping