Tracking of multiple faces for human-computer interfaces and virtual environments

Abstract

Describes a real-time face-tracking algorithm. We start with single face tracking based on statistical color modeling and a deformable template. We then expand the algorithm to track multiple faces, possibly with occlusion, by constraining the speed and size changes of the faces. We test the algorithm on sequences with different occlusion patterns and analyze the tracking performance. We also present a tracking software library based on this algorithm. This library can be applied to human-computer interfaces, lip-reading and virtual environments.