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Authors: Marcos Nieto 1 ; Andoni Cortés 1 ; Oihana Otaegui 1 and Iñigo Etxabe 2

Affiliations: 1 Vicomtech-IK4 Research Alliance, Spain ; 2 Datik, Spain

ISBN: 978-989-8565-04-4

Keyword(s): Computer Vision, Particle Filter, Slice Sampling, Laser, Rail Inspection.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image-Based Modeling ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Software Engineering ; Tracking and Visual Navigation

Abstract: This paper introduces a rail inspection system which detects rail flaws using computer vision algorithms. Unlike other methods designed for the same purpose, we propose a method that automatically fits a 3D rail model to the observations during regular services and normal traffic conditions. The proposed strategy is based on a novel application of the slice sampling technique with overrelaxation in the framework of MCMC (Markov Chain Monte Carlo) particle filters. This combination allows us to efficiently exploit the temporal coherence of observations and to obtain more accurate estimates than with other techniques such as importance sampling or Metropolis-Hastings. The results show that the system is able to efficient and robustly obtain measurements of the wear of the rails, while we show as well that it is possible to introduce the slice sampling technique into MCMC particle filters.

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Paper citation in several formats:
Nieto, M.; Cortés, A.; Otaegui, O.; Etxabe, I. and Etxabe, I. (2012). MCMC PARTICLE FILTER WITH OVERRELAXATED SLICE SAMPLING FOR ACCURATE RAIL INSPECTION.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-04-4, pages 164-172. DOI: 10.5220/0003853901640172

@conference{visapp12,
author={Marcos Nieto. and Andoni Cortés. and Oihana Otaegui. and Iñigo Etxabe. and Iñigo Etxabe.},
title={MCMC PARTICLE FILTER WITH OVERRELAXATED SLICE SAMPLING FOR ACCURATE RAIL INSPECTION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={164-172},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003853901640172},
isbn={978-989-8565-04-4},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)
TI - MCMC PARTICLE FILTER WITH OVERRELAXATED SLICE SAMPLING FOR ACCURATE RAIL INSPECTION
SN - 978-989-8565-04-4
AU - Nieto, M.
AU - Cortés, A.
AU - Otaegui, O.
AU - Etxabe, I.
AU - Etxabe, I.
PY - 2012
SP - 164
EP - 172
DO - 10.5220/0003853901640172

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