Motion segmentation and cloud tracking on noisy infrared image sequences

Ronan Fablet; Philippe Rostaing; Christophe Collet

doi:10.1117/12.334635

28 December 1998 Motion segmentation and cloud tracking on noisy infrared image sequences

Ronan Fablet, Philippe Rostaing, Christophe Collet

Proceedings Volume 3653, Visual Communications and Image Processing '99; (1998) https://doi.org/10.1117/12.334635
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

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.

Citation Download Citation

Ronan Fablet, Philippe Rostaing, and Christophe Collet "Motion segmentation and cloud tracking on noisy infrared image sequences", Proc. SPIE 3653, Visual Communications and Image Processing '99, (28 December 1998); https://doi.org/10.1117/12.334635

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