1. A method for visually tracking a target object silhouette in a plurality of video frames, the target object silhouette being identified by a bitmap classifying whether each pixel belongs to said target object silhouette, the method comprising the steps of: (i) approximating a probability distribution function (PDF), which assigns a probability to each possible bitmap in a given video frame; and (ii) estimating the maximum a posteriori bitmap of said target object silhouette in each video frame in order to classify whether each pixel in a given video frame belongs to said target object silhouette.