Multiscale Weighted Ensemble Kalman Filter for Fluid Flow Estimation

Abstract : This paper proposes a novel multi-scale uid ow data as- similation approach, which integrates and complements the advantages of a Bayesian sequential assimilation technique, the Weighted Ensem- ble Kalman lter (WEnKF) [12], and an improved multiscale stochastic formulation of the Lucas-Kanade (LK) estimator. The proposed scheme enables to enforce a physically plausible dynamical consistency of the estimated motion elds along the image sequence. 1
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Sai Gorthi, Sébastien Beyou, Thomas Corpetti, Etienne Mémin. Multiscale Weighted Ensemble Kalman Filter for Fluid Flow Estimation. 3rd International conference on scale space and variational methods in computer vision (SSVM), May 2011, Ein-Gedi, Israel. ⟨hal-00694975⟩

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