Face authentication for an activity-related biometrics system

This paper presents a preliminary study in the use of face recognition for unobtrusive activity-related biometrics systems. First the components of such a system are described. Several issues related to using the face modality are identified, including the need for an adaptive face localization scheme for robust authentication. A greedy algorithm is proposed to complement the Viola-Jones algorithm for this purpose. Experimental results are presented on a database with 11 subjects (10 sessions per subject) performing various activities.

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