DocumentCode
2082725
Title
Tracking With Sobolev Active Contours
Author
Sundaramoorthi, Ganesh ; Jackson, Jeremy D. ; Yezzi, Anthony ; Mennucci, Andrea C.
Author_Institution
Georgia Institute of Technology
Volume
1
fYear
2006
fDate
17-22 June 2006
Firstpage
674
Lastpage
680
Abstract
Recently proposed Sobolev active contours introduced a new paradigm for minimizing energies defined on curves by changing the traditional cost of perturbing a curve and thereby redefining their gradients. Sobolev active contours evolve more globally and are less attracted to certain intermediate local minima than traditional active contours. In this paper we analyze Sobolev active contours in the Fourier domain in order to understand their evolution across different scales. This analysis shows an important and useful behavior of Sobolev contours, namely, that they move successively from coarse to increasingly finer scale motions in a continuous manner. Along with other properties, the previous observation reveals that Sobolev active contours are ideally suited for tracking problems that use active contours. Our purpose in this work is to show how a variety of active contour based tracking methods can be significantly improved merely by evolving the active contours according to the Sobolev method.
Keywords
Active contours; Costs; Deformable models; Image edge detection; Motion analysis; Robustness; Shape; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on
ISSN
1063-6919
Print_ISBN
0-7695-2597-0
Type
conf
DOI
10.1109/CVPR.2006.314
Filename
1640819
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