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Object Based Optical Flow Estimation with an Affine Prior Model

Résumé : We investigate an original method to compute the optical flow on image sequences. Instead of assuming invariance principles applied to individual pixels, this method considers objects as a whole, by constraining their total intensity during their motion. A variational implementation of this method has already been studied. We propose here a parametric implementation of this method using an affine prior model. A combined method between the variational method and the affine method is proposed in order to capture both affine components and non-affine components. Results on meteorological infrared data are presented
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Contributor : Brigitte Briot Connect in order to contact the contributor
Submitted on : Thursday, November 4, 2010 - 1:42:55 PM
Last modification on : Friday, February 4, 2022 - 3:08:43 AM




Dominique Béréziat, Isabelle Herlin. Object Based Optical Flow Estimation with an Affine Prior Model. Proceedings of the International Conference on Pattern Recognition (ICPR), Sep 2000, Barcelona, Spain. pp.1048-1051, ⟨10.1109/ICPR.2000.903725⟩. ⟨inria-00532745⟩



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