OSCAR:使用对应和松弛的对象分割

B. Galvin, B. McCane, K. Novins
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引用次数: 1

摘要

提出了一种基于运动的鲁棒分割系统。我们将一种新的基于松弛的角跟踪系统与现有的角跟踪技术相结合,以产生几乎没有大误差的角轨迹。该技术与概率分割算法结合使用,以查找和跟踪图像序列中的对象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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