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Proceedings Paper

Motion segmentation and cloud tracking on noisy infrared image sequences
Author(s): Ronan Fablet; Philippe Rostaing; Christophe Collet
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Paper Abstract

Aerial surveillance is an issue of key importance for warship protection. In addition to radar systems, infrared surveillance sensors represent an interesting alternative for remote observation. In this paper, we study such a system and an original approach to the tracking of complex cloudy patterns in noisy infrared image sequences is proposed. We have paid particular attention to robustness with regards to perturbations likely to occur (noise, 'lining effects' . . .). Our approach relies on robust parametric motion estimation and an original regularization scheme allows to handle with the appearance and the disappearance of objects in the scene. Numerous experiments performed on outdoor infrared image sequences underline the efficiency of the proposed method.

Paper Details

Date Published: 28 December 1998
PDF: 10 pages
Proc. SPIE 3653, Visual Communications and Image Processing '99, (28 December 1998); doi: 10.1117/12.334635
Show Author Affiliations
Ronan Fablet, Ecole Navale (France)
Philippe Rostaing, Ecole Navale (France)
Christophe Collet, Ecole Navale (France)


Published in SPIE Proceedings Vol. 3653:
Visual Communications and Image Processing '99
Kiyoharu Aizawa; Robert L. Stevenson; Ya-Qin Zhang, Editor(s)

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