Stephen McKenna, Shaogang Gong and Yogesh Raja
Machine Vision Laboratory, Department of Computer Science
Queen Mary and Westfield College, London E1 4NS.
An integrated system for the acquisition, normalisation and recognition of moving faces in dynamic scenes is introduced. Four face recognition tasks are defined and it is argued that modelling person-specific probability densities in a generic face space using mixture models provides a technique applicable to all four tasks. The use of Gaussian colour mixtures for face detection and tracking is also described. Results are presented using data from the integrated system.