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Proceedings Paper

Combinatorial optimization and linear prediction approaches to rain cell tracking
Author(s): J. Louchet; R. Mathurin; B. Rottembourg
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Paper Abstract

In this paper two complementary approaches for object motion tracking are presented. The objects considered, highly deformable, are rain cells issued form weather radar image sequences. The first approach consists in formulating the problem as an object-to-object assignment one, treated as a combinatorial optimization problem and solved by ad hoc approximate heuristics. The second approach aims at implicitly identifying the motion components and predicting their future evolution by linear extrapolation. Experimental results are presented, pointing out the successful tracking of rain cells, possibly leading to the prediction of heavy rainfall.

Paper Details

Date Published: 1 March 1998
PDF: 7 pages
Proc. SPIE 3240, 26th AIPR Workshop: Exploiting New Image Sources and Sensors, (1 March 1998); doi: 10.1117/12.300045
Show Author Affiliations
J. Louchet, Ecole Nationale Superieure de Techniques Avancees (France)
R. Mathurin, Lab. Central des Ponts et Chaussees and Ecole Nationale Superieure de Techniques Avancees (France)
B. Rottembourg, Ecole Nationale Superieure de Techniques Avancees (France)


Published in SPIE Proceedings Vol. 3240:
26th AIPR Workshop: Exploiting New Image Sources and Sensors
J. Michael Selander, Editor(s)

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