Pel-Recursive Motion Estimation Using the Expectation-Maximization Technique and Spatial Adaptation

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. Keywords Motion estimation, EM algorithm, pel-recursive, maximum likelihood.

• Type: Conference
• Year: 2004
• Where: WSCG
• Authors: Vania V. Estrela, Luís A. Rivera, Marcos H. S. Bassani
• Keywords: Motion Estimation, Motion Vector, Pel-recursive Motion Estimation, WSCG 2004