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Proceedings Paper

Robust automatic target tracking based on a Bayesian ego-motion compensation framework for airborne FLIR imagery
Author(s): Carlos R. del-Blanco; Fernando Jaureguizar; Narciso García; Luis Salgado
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Paper Abstract

Automatic target tracking in airborne FLIR imagery is currently a challenge due to the camera ego-motion. This phenomenon distorts the spatio-temporal correlation of the video sequence, which dramatically reduces the tracking performance. Several works address this problem using ego-motion compensation strategies. They use a deterministic approach to compensate the camera motion assuming a specific model of geometric transformation. However, in real sequences a specific geometric transformation can not accurately describe the camera ego-motion for the whole sequence, and as consequence of this, the performance of the tracking stage can significantly decrease, even completely fail. The optimum transformation for each pair of consecutive frames depends on the relative depth of the elements that compose the scene, and their degree of texturization. In this work, a novel Particle Filter framework is proposed to efficiently manage several hypothesis of geometric transformations: Euclidean, affine, and projective. Each type of transformation is used to compute candidate locations of the object in the current frame. Then, each candidate is evaluated by the measurement model of the Particle Filter using the appearance information. This approach is able to adapt to different camera ego-motion conditions, and thus to satisfactorily perform the tracking. The proposed strategy has been tested on the AMCOM FLIR dataset, showing a high efficiency in the tracking of different types of targets in real working conditions.

Paper Details

Date Published: 4 May 2009
PDF: 12 pages
Proc. SPIE 7335, Automatic Target Recognition XIX, 733514 (4 May 2009); doi: 10.1117/12.820203
Show Author Affiliations
Carlos R. del-Blanco, Univ. Politécnica de Madrid (Spain)
Fernando Jaureguizar, Univ. Politécnica de Madrid (Spain)
Narciso García, Univ. Politécnica de Madrid (Spain)
Luis Salgado, Univ. Politécnica de Madrid (Spain)


Published in SPIE Proceedings Vol. 7335:
Automatic Target Recognition XIX
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

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