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Among the many techniques for tracking moving objects, the particle filter strongly attracts the researchers and developers for its simplicity and effectiveness. Two major problems suffered from the particle filter are the slow tracking speed caused by the examination of a large number of randomly generated particle samples and the position drifting of the(More)
This paper proposes a novel method to detect faces in color images with a wide range of variations in head poses, face tilting, facial expressions and body interferences. The proposed algorithm can locates not only the face regions, but also some important facial components such as month corners and eyes. The experimental results show that the proposed(More)
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