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oaioai:bura.brunel.ac.uk:2438/2525

Motion estimation with object based regularisation

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Publication date
1 January 1996
Publisher
'Institute of Electrical and Electronics Engineers (IEEE)'
Doi

    Abstract

    A dynamic programming based matching method for motion estimation, that optimises a Bayesian maximum likelihood function in a 3-D optimisation space, is presented. The Bayesian function consists of a matching cost and an object based 2-D regularisation cost. The method gives results more accurate than block-based matching since the motion boundaries are close to the actual object boundaries

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    This paper was published in Brunel University Research Archive.

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