Markovian random fields energy minimization algorithms

This paper introduces two frameworks that are modified versions of the iterated conditional modes (ICM) algorithm. These methods provide an efficient minimization of Markovian random fields energy function with substantial reduction in computing time. An application to a multi-resolution motion dete...

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Bibliographic Details
Main Authors: Oukil, A., Serir, A.
Format: Conference Proceeding
Language:English
Subjects:
Bayesian methods
Computational modeling
Data mining
Image motion analysis
Image sequences
Laboratories
Minimization methods
Motion detection
Simulated annealing
Stochastic processes
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Summary:This paper introduces two frameworks that are modified versions of the iterated conditional modes (ICM) algorithm. These methods provide an efficient minimization of Markovian random fields energy function with substantial reduction in computing time. An application to a multi-resolution motion detection scheme is then presented and the results of the two frameworks are discussed and compared to those obtained by ICM.
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2000.903597