Spatio-temporal motion segmentation via level set partial differential equations

Author

Mansouri, Abdol-Reza ; Mitiche, Amar ; El-Feghali, Rosario

Author_Institution

INRS Telecommun., Montreal, Que., Canada

fYear

2002

fDate

2002

Firstpage

243

Lastpage

247

Abstract

Motion-based segmentation of image sequences is an important problem of image analysis, with numerous applications to image coding and image manipulation. We present a novel algorithm for segmenting image sequences into distinct motion trajectories. This algorithm is expressed as a system of level set partial differential equations which is solved using level set discretization schemes. We provide experimental results on real image sequences with natural and synthetic image motion

Keywords

image coding; image motion analysis; image segmentation; image sequences; partial differential equations; set theory; distinct motion trajectories; image analysis; image coding; image manipulation; image sequences; level set discretization; natural image motion; partial differential equations; spatio-temporal motion segmentation; synthetic image motion; Computer vision; Image coding; Image motion analysis; Image segmentation; Image sequence analysis; Image sequences; Level set; Motion analysis; Motion segmentation; Partial differential equations;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Interpretation, 2002. Proceedings. Fifth IEEE Southwest Symposium on

Conference_Location

Sante Fe, NM

Print_ISBN

0-7695-1537-1

Type

conf

DOI

10.1109/IAI.2002.999926

Filename

999926