A method for mixed states texture segmentation with simultaneous parameter estimation

Agustín Mailing

doi:10.1016/j.patrec.2011.07.022

2011-11-01

PRE

Agustín Mailing *

Bruno Cernuschi-Frías

DOI：10.1016/j.patrec.2011.07.022

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摘要

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In this work a method for mixed-state model motion texture segmentation and parameter estimation is presented. We use the Expectation Maximization algorithm for mixture parameter estimation, introducing the Gibbs distribution for moving points, excluding zero discrete component associated with no motion regions. We use then the a posteriori probabilities to generate an alternative field to segment the textures according to its statistical parameters. (C) 2011 Elsevier B.V. All rights reserved.

Keyword:

Motion textures

Segmentation

Expectation Maximization

Pseudo-likelihood

Markov Random Fields

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期刊

Pattern Recognition Letters

IF:

3.3

论文数:

8.0K

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