MCMC PARTICLE FILTER WITH OVERRELAXATED SLICE SAMPLING FOR ACCURATE RAIL INSPECTION

Marcos Nieto, Andoni Cortés, Oihana Otaegui, Iñigo Etxabe

2012

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.

Paper Citation

in Harvard Style

Nieto M., Cortés A., Otaegui O. 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

in Bibtex Style

@conference{visapp12,
author={Marcos Nieto and Andoni Cortés and Oihana Otaegui 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},
}

in EndNote Style

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.
PY - 2012
SP - 164
EP - 172
DO - 10.5220/0003853901640172