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Conference papers

Motion detection in meteorological images sequences: two methods and their comparison.

Résumé : This study presents and compares two models for estimating motion in meteorological images sequences. The first method makes use of the grey level pixel conservation hypothesis. It produces a dense vector field through a variational formulation, and authorizes discontinuities in the resulting field. A second method use a model taking affine motion as ground hypothesis. Motion parameters are then estimated with an incremental least-square procedure. One of its principal advantages results in a modeling of the variation of the grey level values. The two methods are complementary: the second computes a global estimation of the motion, which is locally enhanced by the first.
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Conference papers
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https://hal.inria.fr/inria-00532708
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Submitted on : Thursday, November 4, 2010 - 1:39:24 PM
Last modification on : Friday, February 4, 2022 - 3:08:27 AM

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Dominique Béréziat, Isabelle Herlin, Laurent younes. Motion detection in meteorological images sequences: two methods and their comparison.. Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing, Sep 1997, London, United Kingdom. ⟨10.1117/12.295618⟩. ⟨inria-00532708⟩

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