In this paper, a new technique for object classi cation from silhouettes is presented. Hidden Markov Models are used as a classi cation mechanism. Through a set of experiments, we show the validity of our approach and show its invariance under severe rotation conditions. Also, a comparison with other techniques that use Hidden Markov Models for object classi cation from silhouettes is presented.