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Probabilistic multiple face detection and tracking using entropy measures

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3 Author(s)
Loutas, E. ; Dept. of Informatics, Univ. of Thessaloniki, Greece ; Pitas, I. ; Nikou, C.

A joint probabilistic face detection and tracking algorithm, combining likelihood estimation and a prior probability, is proposed. The likelihood estimation scheme is based on the statistical training of sets of automatically generated feature points and a mutual information tracking cue, while the prior probability estimation is based on a Gaussian temporal model. The likelihood estimation process is the core of a multiple face detection scheme used to initialize the tracking process. The resulting system has been tested on real image sequences and is robust to significant partial occlusion and illumination changes.

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Circuits and Systems for Video Technology, IEEE Transactions on  (Volume:14 ,  Issue: 1 )