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A robust and efficient technique for detection of region boundaries in a sequence of images is the foundation for a hierarchical framework for visual target tracking. This robust technique is a multi-hypothesis test that searches for a boundary that maximizes a certain performance criterion. The framework also consists of a technique to restore noisy images when the parameters are not known and also filtering to predict positions and orientations of successive images

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This page is a summary of: A robust hierarchical probabilistic framework for visual target tracking, January 1991, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/icassp.1991.150898.
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