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 work on images providing by such a system and we propose an original approach to the tracking of complex patterns in noisy infrared image sequences. We have paid particular attention to robustness with regards to perturbations likely to occur (noise, 'lining effects'. . .). Our method relies on robust parametric motion estimation and on an original Markovian 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.
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