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OSCAR: object segmentation using correspondence and relaxation

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.