Pose estimation of moving objects from video sequences based on the unscented transformation

A method for moving objects tracking from video sequences is presented in this paper. The coordinate transform from image frame into the world frame is a nonlinear one. The technique of unscented transformation is used for measurement noise statistics approximation based on estimated statistics of measurement noise in the image frame. The proposed method is illustrated through a differential drive mobile robot tracking example.