  Pel-recursive motion estimation isa well-established approach. However, in
the presence of noise, it becomes an ill-posed problem that requires
regularization. In this paper, motion vectors are estimated in an iterative
fashion by means of the Expectation-Maximization (EM) algorithm and a Gaussian
data model. Our proposed algorithm also utilizes the local image properties of
the scene to improve the motion vector estimates following a spatially adaptive
approach. Numerical experiments are presented that demonstrate the merits of
our method.
