Expectation-Maximization Technique and Spatial-Adaptation Applied to Pel-Recursive Motion Estimation

📝 Original Info

• Title: Expectation-Maximization Technique and Spatial-Adaptation Applied to Pel-Recursive Motion Estimation
• ArXiv ID: 1403.7365
• Date: 2014-03-31
• Authors: Researchers from original ArXiv paper

📝 Abstract

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.

💡 Deep Analysis

Deep Dive into Expectation-Maximization Technique and Spatial-Adaptation Applied to Pel-Recursive Motion Estimation.

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.

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