Nonlinear motion estimation using the supercoupling approach

Author

Bober, M. ; Petrou, M. ; Kittler, J.

Author_Institution

Sch. of Electron. Eng., Inf. Technol. & Math., Surrey Univ., Guildford, UK

Volume

20

Issue

5

fYear

1998

fDate

5/1/1998 12:00:00 AM

Firstpage

550

Lastpage

555

Abstract

This paper presents the application of a very efficient multiresolution transformation, which is related to the renormalization group approach of physics, to the problem of motion segmentation. The approach proposed is much faster and yields much better results than the full resolution approach. The problem is formulated as one of global optimization where a cost function is constructed to combine the information obtained by various processors as well as the constraints we impose to the problem. The cost function is optimized using the supercoupling multiresolution approach

Keywords

Markov processes; image segmentation; image sequences; motion estimation; optimisation; renormalisation; Markov random fields; cost function; global optimization; image sequences; motion segmentation; multiresolution transformation; nonlinear motion estimation; renormalization group; stochastic relaxation; supercoupling; Acceleration; Computer vision; Cost function; Image motion analysis; Markov random fields; Motion analysis; Motion estimation; Motion segmentation; Probability distribution; Stochastic processes;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/34.682185

Filename

682185