MULTIPLE CUE DATA FUSION USING MARKOV RANDOM FIELDS FOR MOTION DETECTION

Marc Vivet, Brais Martínez, Xavier Binefa

2009

Abstract

We propose a new method for Motion Detection using stationary camera, where the information of different motion detectors which are not robust but light in terms of computation time (what we will call weak motion detector (WMD)) are merged with spatio-temporal Markov Random Field to improve the results. We put the strength, instead of on the weak motion detectors, on the fusion of their information. The main contribution is to show how the MRF can be modeled for obtaining a robust result. Experimental results show the improvement and good performance of the proposed method.

Paper Citation

in Harvard Style

Vivet M., Martínez B. and Binefa X. (2009). MULTIPLE CUE DATA FUSION USING MARKOV RANDOM FIELDS FOR MOTION DETECTION . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 529-534. DOI: 10.5220/0001802605290534

in Bibtex Style

@conference{visapp09,
author={Marc Vivet and Brais Martínez and Xavier Binefa},
title={MULTIPLE CUE DATA FUSION USING MARKOV RANDOM FIELDS FOR MOTION DETECTION},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={529-534},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001802605290534},
isbn={978-989-8111-69-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)
TI - MULTIPLE CUE DATA FUSION USING MARKOV RANDOM FIELDS FOR MOTION DETECTION
SN - 978-989-8111-69-2
AU - Vivet M.
AU - Martínez B.
AU - Binefa X.
PY - 2009
SP - 529
EP - 534
DO - 10.5220/0001802605290534