Parallelized robust multiresolution motion estimation

Author

Piscaglia, P. ; Macq, B. ; Mémin, E. ; Pérez, P. ; Labit, C.

Author_Institution

Univ. Catholique de Louvain, Belgium

Volume

1

fYear

1996

fDate

16-19 Sep 1996

Firstpage

945

Abstract

Motion estimation is crucial in domains such as robot vision or image sequence coding. Fast or real time computing is often required but is problematic due to computational complexity. In this paper, an algorithm using multiresolution multigrid Markov random fields is parallelized. Such realizations have already been studied for fine parallelizations on massively parallel machines. The goal of this paper is to achieve a coarse parallelization on a network of workstations, using the Parallel Virtual Machine (PVM) software package

Keywords

Markov processes; image resolution; motion estimation; parallel algorithms; random processes; real-time systems; software packages; Parallel Virtual Machine software package; computational complexity; image sequence coding; multiresolution multigrid Markov random fields; parallelized robust multiresolution motion estimation; real time computing; robot vision; workstation network; Computational complexity; Image coding; Image sequences; Markov random fields; Motion estimation; Parallel machines; Robot vision systems; Robustness; Virtual machining; Workstations;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.559656

Filename

559656