Person Recognition based on Head and Mouth Dynamics

Face is considered as an attractive biometric but because of multiple sources of variabilities, the associated recognition rate is not high enough, when working on appearance only, for most of real applications. Considering that most available visual data are videos and not still images, we investigate in this article the possible contribution of some dynamic parameters (head displacements and mouth motion) in person recognition. Some preliminary results tend to validate this original proposal that opens some new perspectives in the possible design of future hybrid and efficient system combining appearance and dynamics of faces