Optical flow field estimation with Markov Random fields using evolutionary algorithms

S. Voisin; A. Dipanda; C. Bourgeois-République

Optical flow field estimation with Markov Random fields using evolutionary algorithms

S. Voisin, A. Dipanda, C. Bourgeois-République

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper presents a new method for estimating the optical flow field using the MRF modeling. In the MRF framework, the estimation problem amounts to the minimization of an energy function. We propose an Evolutionary Algorithm (EA) method to solve this minimization problem. It is based on a divide-and-conquer strategy which adequately uses the markovian property. Experimental results show the effectiveness of the method.

Original language	English
Pages	9-14
Number of pages	6
State	Published - 2005
Externally published	Yes
Event	1st IEEE International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2005 - Yaounde, Cameroon Duration: Nov 27 2005 → Dec 1 2005

Conference

Conference	1st IEEE International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2005
Country/Territory	Cameroon
City	Yaounde
Period	11/27/05 → 12/1/05

Cite this

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title = "Optical flow field estimation with Markov Random fields using evolutionary algorithms",

abstract = "This paper presents a new method for estimating the optical flow field using the MRF modeling. In the MRF framework, the estimation problem amounts to the minimization of an energy function. We propose an Evolutionary Algorithm (EA) method to solve this minimization problem. It is based on a divide-and-conquer strategy which adequately uses the markovian property. Experimental results show the effectiveness of the method.",

author = "S. Voisin and A. Dipanda and C. Bourgeois-R{\'e}publique",

year = "2005",

language = "English",

pages = "9--14",

note = "1st IEEE International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2005 ; Conference date: 27-11-2005 Through 01-12-2005",

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TY - CONF

T1 - Optical flow field estimation with Markov Random fields using evolutionary algorithms

AU - Voisin, S.

AU - Dipanda, A.

AU - Bourgeois-République, C.

PY - 2005

Y1 - 2005

N2 - This paper presents a new method for estimating the optical flow field using the MRF modeling. In the MRF framework, the estimation problem amounts to the minimization of an energy function. We propose an Evolutionary Algorithm (EA) method to solve this minimization problem. It is based on a divide-and-conquer strategy which adequately uses the markovian property. Experimental results show the effectiveness of the method.

AB - This paper presents a new method for estimating the optical flow field using the MRF modeling. In the MRF framework, the estimation problem amounts to the minimization of an energy function. We propose an Evolutionary Algorithm (EA) method to solve this minimization problem. It is based on a divide-and-conquer strategy which adequately uses the markovian property. Experimental results show the effectiveness of the method.

UR - https://www.scopus.com/pages/publications/84893468106

M3 - Paper

AN - SCOPUS:84893468106

SP - 9

EP - 14

T2 - 1st IEEE International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2005

Y2 - 27 November 2005 through 1 December 2005

ER -

Optical flow field estimation with Markov Random fields using evolutionary algorithms

Abstract

Conference

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