A VISION-BASED HYBRID SYSTEM FOR REAL-TIME ACCURATE LOCALIZATION IN AN INDOOR ENVIRONMENT

Vincent Gay-Bellile, Mohamed Tamaazousti, Romain Dupont, Sylvie Naudet Collette

Abstract

This paper presents an indoor vision-based system using a single camera for human localization. Without a priori knowledge of the operating environment, a map has to be built on-line to estimate the relative positions of the camera. When a model is a priori known, only the camera poses are computed. It results in distinctive algorithms which have both assets and drawbacks. Localization in an unknown environment is much more flexible but subject to drift while localization in a known environment is almost drift-less but suffer from recognition failures. We propose a new approach to localize a camera in an indoor environment. It combines both techniques described above benefiting from the knowledge of Georeferencing information to reduce the drift (comparatively to localization in unknown environment) while avoiding the user to be lost during long time intervals. Experimental results show the efficiency of our method.

References

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Paper Citation


in Harvard Style

Gay-Bellile V., Tamaazousti M., Dupont R. and Naudet Collette S. (2010). A VISION-BASED HYBRID SYSTEM FOR REAL-TIME ACCURATE LOCALIZATION IN AN INDOOR ENVIRONMENT . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-028-3, pages 216-222. DOI: 10.5220/0002825602160222


in Bibtex Style

@conference{visapp10,
author={Vincent Gay-Bellile and Mohamed Tamaazousti and Romain Dupont and Sylvie Naudet Collette},
title={A VISION-BASED HYBRID SYSTEM FOR REAL-TIME ACCURATE LOCALIZATION IN AN INDOOR ENVIRONMENT},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={216-222},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002825602160222},
isbn={978-989-674-028-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)
TI - A VISION-BASED HYBRID SYSTEM FOR REAL-TIME ACCURATE LOCALIZATION IN AN INDOOR ENVIRONMENT
SN - 978-989-674-028-3
AU - Gay-Bellile V.
AU - Tamaazousti M.
AU - Dupont R.
AU - Naudet Collette S.
PY - 2010
SP - 216
EP - 222
DO - 10.5220/0002825602160222