Tracking deformable motion

Ioannis Patras, Maja Pantic

Abstract: This paper addresses the problem of template-based tracking of non rigid objects. We use the well-known framework of auxiliary particle filtering and propose an observation model that explicitly addresses appearance changes that are caused by local deformations of the tracked object. In addition, by adopting a colour difference that is invariant to local changes in the illumination, the proposed observation model can deal with changing lighting conditions and shadows. Experimental results with real image sequences demonstrate the efficiency of the proposed method in tracking facial features, such as mouth and eye corners