A dynamic texture is a linear dynamical system used to
model a single video as a sample from a spatio-temporal
stochastic process. In this work, we introduce the mixture of
dynamic textures, which models a collection of videos consisting
of different visual processes as samples from a set of
dynamic textures. We derive the EM algorithm for learning
a mixture of dynamic textures, and relate the learning algorithm
and the dynamic texture mixture model to previous
works. Finally, we demonstrate the applicability of the proposed
model to problems that have traditionally been chal
lenging for computer vision.