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Authors: Florian Particke 1 ; Lucila Patiño-Studencki 1 ; Jörn Thielecke 1 and Christian Feist 2

Affiliations: 1 Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany ; 2 Audi Electronics Venture GmbH, Germany

ISBN: 978-989-758-227-1

Keyword(s): Object Tracking, Pedestrians, Surveillance, Pedestrian Trajectory Pattern, Parametric Model.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Robotics ; Software Engineering ; Tracking and Visual Navigation ; Video Surveillance and Event Detection

Abstract: Mobile robots and autonomous driving cars operate in a shared environment with pedestrians. In order to avoid accidents, it is important to track and predict human trajectories in an optimal way. In this paper, a generalized potential field approach for characterizing pedestrian movements is proposed which goes beyond the well-known social force model. Its goal is to give a generalized architecture for improving the tracking accuracy of pedestrians in surveillance situations. In comparison to other fusion approaches, the number of proposed parameters is reduced and the parameters can be intuitively understood. For a simple scenario, in a forum the trajectories of pedestrians are predicted for a configured parameter set. For this purpose, the proposed model is used. The predicted trajectories are compared to the real trajectories of the pedestrians. First results regarding the accuracy of the approach are presented.

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Paper citation in several formats:
Particke F., Patiño-Studencki L., Thielecke J. and Feist C. (2017). Pedestrian Tracking using a Generalized Potential Field Approach.In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-227-1, pages 509-514. DOI: 10.5220/0006215705090514

@conference{visapp17,
author={Florian Particke and Lucila Patiño{-}Studencki and Jörn Thielecke and Christian Feist},
title={Pedestrian Tracking using a Generalized Potential Field Approach},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={509-514},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006215705090514},
isbn={978-989-758-227-1},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6: VISAPP, (VISIGRAPP 2017)
TI - Pedestrian Tracking using a Generalized Potential Field Approach
SN - 978-989-758-227-1
AU - Particke F.
AU - Patiño-Studencki L.
AU - Thielecke J.
AU - Feist C.
PY - 2017
SP - 509
EP - 514
DO - 10.5220/0006215705090514

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