The construction of optimizing recognition model for video face

Video face recognition has become one of the most active research direction in the field of face recognition. In this paper, the influence of the illumination and the posture was analyzed and the corresponding solution was designed. Through the combined face recognition algorithm of global features and local features based on the wavelet analysis, as well as the Hidden Markov model using as the post-processing, the conception of optimizing recognition was set up for construction. The feasibility of the model was proved by the partial experiments, which provide the beneficial reference for intelligent monitoring technology.