DocumentCode
382254
Title
Spatial/joint space-time motion segmentation of image sequences by level set pursuit
Author
Mansouri, Abdol-Reza ; Mitich, Amar
Author_Institution
Inst. Nat. de la Recherche Scientifique, INRS, Montreal, Que., Canada
Volume
2
fYear
2002
fDate
2002
Abstract
The basic problem we address in this paper is the following. Given a set of sparse point correspondences, how does one obtain a dense motion field and a motion-based segmentation of the image sequence? We propose a novel solution to this problem by formulating it as pursuit in segmentation space. This segmentation is defined by level set evolution equations, allowing changes in segmentation topology.
Keywords
image segmentation; image sequences; motion estimation; set theory; topology; dense motion field; image sequences; level set evolution equations; level set pursuit; segmentation topology changes; space-time motion segmentation; sparse point correspondences; spatial/joint motion segmentation; Computer vision; Equations; Image converters; Image segmentation; Image sequences; Iterative algorithms; Level set; Motion segmentation; Topology; Video compression;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing. 2002. Proceedings. 2002 International Conference on
ISSN
1522-4880
Print_ISBN
0-7803-7622-6
Type
conf
DOI
10.1109/ICIP.2002.1039938
Filename
1039938
Link To Document