2016-071 – Feature-based 3D Head Tracking

A set of point features is registered and updated for each reference pose serving a multi-view head detector. Since tracking-by-detection approach is used in our method, the proposed tracker utilizes view-based model more efficiently than previous view-based model approaches. The view-based feature point registration rectifies error accumulation and provides fast recovery after occlusion has ended, while preventing divergence problem which frequently occurs in conventional frame-to-frame tracking methods. Kalman filter is used to incorporate motion between successive frames and the estimated pose with the view-based head model. The advantage of this program is robustness against fast motion,occlusion, and drift over time. And the robustness increases as the head is tracked longer since more features and typical views are registered. Scott McEvoy smcevoy@andrew.cmu.edu 412-268-6053