DocumentCode
1742265
Title
Markovian random fields energy minimization algorithms
Author
Oukil, A. ; Serir, Amina
Author_Institution
Ecole Mil. Polytech., Bordj-El-Bahri, Algeria
Volume
3
fYear
2000
fDate
2000
Firstpage
518
Abstract
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
Keywords
Markov processes; image sequences; minimisation; motion estimation; Markovian random fields; energy minimization; image sequences; iterated conditional modes; motion detection; multiple-resolution analysis; Bayesian methods; Computational modeling; Data mining; Image motion analysis; Image sequences; Laboratories; Minimization methods; Motion detection; Simulated annealing; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location
Barcelona
ISSN
1051-4651
Print_ISBN
0-7695-0750-6
Type
conf
DOI
10.1109/ICPR.2000.903597
Filename
903597
Link To Document