and

A method is presented for semi-automatic object tracking in video sequences using multiple fea-tures and a method for probabilistic relaxation to improve the tracking results producing smooth and accurate tracked borders. Starting from a given initial position of the object in the rst frame the proposed method automatically tracks the object in the sequence modelling the a pos-teriori probabilities of a set of features such as color, position and motion, depth, etc