A probabilistic approach for shadows modeling and detection

The performance of a statistical image processing system depends in large part on the accuracy of the probabilistic model used. This paper presents a robust probabilistic mixture model based on the Dirichlet distribution. An unsupervised algorithm based on MML for learning this mixture is given, too. Experimental results involve shadows modeling and its application to shadows detection in images.