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Wavelets and Optical Flow Motion Estimation

Pierre Dérian 1 Patrick Héas 1 Cédric Herzet 1 Etienne Mémin 1
1 FLUMINANCE - Fluid Flow Analysis, Description and Control from Image Sequences
IRSTEA - Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture, Inria Rennes – Bretagne Atlantique
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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Pierre Dérian, Patrick Héas, Cédric Herzet, Etienne Mémin. Wavelets and Optical Flow Motion Estimation. Numerical mathematics : a journal of Chinese universities, Nanjing University Press, 2013, 6, pp.116-137. ⟨hal-00737566⟩

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