Robust visual tracking by coupling 2D motion and 3D pose estimation

We present an original method for tracking, in an image sequence, complex objects which can be modeled approximately by a polyhedral shape. The approach relies on the estimation of the object image motion as well as the computation of the object pose. The proposed method fulfills real-time constraints along with reliability and robustness requirements.