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.
Motion estimation on infrared image sequences
Targets and Backgrounds: Characterization and Representation V ; 1999 ; Orlando,FL,USA
Proc. SPIE ; 3699
1999-07-14
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Estimation of Object and Sensor Motion in Infrared Image Sequences
British Library Conference Proceedings | 1994
|Segmentation and motion estimation in image sequences
SPIE | 1990
|Motion estimation in image sequences for traffic applications
Tema Archiv | 2000
|Recursive Estimation of Camera Motion from Uncalibrated Image Sequences
British Library Conference Proceedings | 1994
|3D structure and motion estimation from 2D image sequences
British Library Online Contents | 1993
|