Probabilistic recognition of human faces from video
Most present face recognition approaches recognize faces based on still images. In this paper, we present a novel approach to recognize faces in video. In that scenario, the face gallery may consist of still images or may be derived from a videos. For evidence integration we use classical Bayesian propagation over time and compute the posterior distribution using sequential importance sampling. Th