Face Recognition in Dynamic Scenes

Stephen McKenna, Shaogang Gong and Yogesh Raja
Machine Vision Laboratory, Department of Computer Science
Queen Mary and Westfield College, London E1 4NS.
E-mail: {stephen,sgg,jpmetal}@dcs.qmw.ac.uk

Abstract:

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.

• 1 Introduction
• 2 Locating and tracking faces using colour
• 3 Face recognition tasks
• 4 Methods for face recognition tasks
• 5 Experiments
• 6 Conclusions
• References