Pel-Recursive Motion Estimation Using the Expectation-Maximization Technique and Spatial Adaptation
Vania Estrela(1), Luis A. Rivera(1), Marcos H. S. Bassani(2)
(1)Universidade Estadual do Norte Fluminense, LCMAT-CCT, Grupo de Computação Científica
Av. Alberto Lamego
2000, Campos dos Goytacazes,
RJ, Brasil, CEP 28013-600
(2)Departamento de Engenharia Mecânica, DEPES,CEFET-RJ
Av. Maracanã 229, Rio de Janeiro, RJ, BRAZIL, CEP 20271-110
Pel-recursive motion estimation is a 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 methods.
Motion estimation, EM algorithm, pel-recursive, maximum likelihood.