OSCAR: object segmentation using correspondence and relaxation

Authors:
B. Galvin;B. McCane;K. Novins
Affiliations:
Computer Science Department, University of Otago, Dunedin, New Zealand;Computer Science Department, University of Otago, Dunedin, New Zealand;Computer Science Department, University of Otago, Dunedin, New Zealand
Venue:
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
Year:
1999

Citing 4
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Abstract

In this paper we present a robust motion-based segmentation system. We combine a novel relaxation-based corner tracking system with existing corner tracking techniques to produce corner trajectories that are virtually free of large errors. This technique is used in conjunction with a probabilistic segmentation algorithm to find and track objects in image sequences.