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|Title:||Motion estimation with object based regularisation|
|Keywords:||Motion Estimation;Dynamic Programming|
|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.|
|Appears in Collections:||Electronic and Computer Engineering|
Dept of Electronic and Computer Engineering Research Papers
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