Feature-Based Face Tracking for Videoconferencing Applications

This paper proposes a new approach for face tracking based on the individual tracking of KLT features. The face is initially detected using a face detection scheme, and KLT features are distributed along the face. Each feature is tracked individually, and the displacement of the center of the face is obtained using a Weighted Vector Median Filter (WVMF) of the individual displacements. The scale change is then computed based on the position of each feature w.r.t. the center of the face. The experimental results indicate that the proposed approach is fast and robust in the presence of partial occlusions.