Catadioptric Image-based Rendering for Mobile Robot Localization

Bakstein, Hynek; Leonardis, A.

doi:10.1109/iccv.2007.4409199

Cited by 2 publications

(1 citation statement)

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“…After the unwrapping, the geometrical distortion is reduced and a conventional tracking algorithm can be use. In [21] and [20] a particle filter is used on the unwrapped image while in [1] a KLT algorithm is applied. The limitation of this approach is the high computation time.…”

Section: Related Workmentioning

confidence: 99%

Tracking moving objects with a catadioptric sensor using particle filter

Rameau

Sidibé

Demonceaux

et al. 2011

2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)

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Visual tracking in video sequences is a widely developed topic in computer vision applications. However, the emergence of panoramic vision using catadioptric sensors has created the need for new approaches in order to track an object in this type of images. Indeed the non-linear resolution and the geometric distortions due to the insertion of the mirror, make tracking in catadioptric images a very challenging task. This paper describes particle filter for tracking moving object over time using a catadioptric sensor. In this work different problems due to the specificities of the catadioptric systems such as geometry are considered. The obtained results demonstrate an important improvement of the tracking accuracy with our adapted method and a better robustness to clutter background and light changes.

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Section: Related Workmentioning

confidence: 99%