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Title: Motion estimation with object based regularisation
Authors: Panis, S
Cosmas, J
Keywords: Motion Estimation;Dynamic Programming
Issue Date: 1996
Publisher: IEE
Citation: IEE Electronics Letters. 32 (10),872-873.
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.
ISSN: 0013-5194
Appears in Collections:Electronic and Computer Engineering
Dept of Electronic and Computer Engineering Research Papers

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