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Authors: Daniele Calisi ; Luca Iocchi and Riccardo Leone

Affiliation: University ”La Sapienza”, Italy

Abstract: Following a person is an important task for mobile service and domestic robots in applications in which human-robot interaction is a primary requirement. In this paper we present an approach that integrates appearance models and stereo vision for efficient people tracking in domestic environments. Stereo vision helps in obtaining a very good segmentation of the scene to detect a person during the automatic model acquisition phase, and to determine the position of the target person in the environment. A navigation module and a high level person following behavior are responsible for performing the task in dynamic and cluttered environments. Experimental results are provided to demonstrate the effectiveness of the proposed approach.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Calisi, D.; Iocchi, L. and Leone, R. (2007). Person Following through Appearance Models and Stereo Vision Using a Mobile Robot. In Robot Vision (VISAPP 2007) - Robot Vision; ISBN 978-972-8865-76-4, SciTePress, pages 46-56. DOI: 10.5220/0002069800460056

@conference{robot vision07,
author={Daniele Calisi. and Luca Iocchi. and Riccardo Leone.},
title={Person Following through Appearance Models and Stereo Vision Using a Mobile Robot},
booktitle={Robot Vision (VISAPP 2007) - Robot Vision},
year={2007},
pages={46-56},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002069800460056},
isbn={978-972-8865-76-4},
}

TY - CONF

JO - Robot Vision (VISAPP 2007) - Robot Vision
TI - Person Following through Appearance Models and Stereo Vision Using a Mobile Robot
SN - 978-972-8865-76-4
AU - Calisi, D.
AU - Iocchi, L.
AU - Leone, R.
PY - 2007
SP - 46
EP - 56
DO - 10.5220/0002069800460056
PB - SciTePress