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Journal Articles Numerical Mathematics: Theory, Methods and Applications Year : 2013

Wavelets and Optical Flow Motion Estimation

Abstract

This article describes the implementation of a simple wavelet-based optical-flow motion estimator dedicated to continuous motions such as fluid flows. The wavelet representation of the unknown velocity field is considered. This scale-space representation, associated to a simple gradient-based optimization algorithm, sets up a well-defined multiresolution framework for the optical flow estimation. Moreover, a very simple closure mechanism, approaching locally the solution by high-order polynomials, is provided by truncating the wavelet basis at fine scales. Accuracy and efficiency of the proposed method is evaluated on image sequences of turbulent fluid flows.
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Dates and versions

hal-00737566 , version 1 (02-10-2012)

Identifiers

  • HAL Id : hal-00737566 , version 1

Cite

Pierre Dérian, Patrick Héas, Cédric Herzet, Etienne Mémin. Wavelets and Optical Flow Motion Estimation. Numerical Mathematics: Theory, Methods and Applications, 2013, 6, pp.116-137. ⟨hal-00737566⟩
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