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Authors: Kristof Van Beeck 1 ; Toon Goedemé 2 and Tinne Tuytelaars 3

Affiliations: 1 Lessius Mechelen and Campus De Nayer, Belgium ; 2 KU Leuven, Lessius Mechelen and Campus De Nayer, Belgium ; 3 KU Leuven, Belgium

Keyword(s): Computer Vision, Pedestrian Tracking, Real-time, Active Safety Systems.

Abstract: We present a vision-based pedestrian tracking system targeting a very specific application: avoiding accidents in the blind spot zone of trucks. Existing blind spot safety systems do not offer a complete solution to this problem. Therefore we propose an active alarm system, which warns the truck driver if vulnerable road users occur in the blind spot zone. Our system is based solely on a vision sensor, and automatically detects vulnerable road users in the blind spot camera images. Due to the nature of this specific problem, this is a challenging task. Besides the demanding time constraint there is a need for a high accuracy, and we have to cope with the large distortion that a blind spot camera introduces. To achieve this we propose a warping window multi-pedestrian tracking algorithm. Our algorithm achieves real-time performance while maintaining high accuracy. To evaluate our algorithms we recorded several datasets with a real blind spot camera mounted on a real truck, consisting of realistic simulated dangerous blind spot situations. (More)

CC BY-NC-ND 4.0

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Paper citation in several formats:
Van Beeck, K.; Goedemé, T. and Tuytelaars, T. (2012). A Warping Window Approach to Real-time Vision-based Pedestrian Detection in a Truck’s Blind Spot Zone. In Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2012) - Volume 2: IVC&ITS; ISBN 978-989-8565-22-8; ISSN 2184-2809, SciTePress, pages 561-568. DOI: 10.5220/0004163505610568

@conference{ivc&its12,
author={Kristof {Van Beeck}. and Toon Goedemé. and Tinne Tuytelaars.},
title={A Warping Window Approach to Real-time Vision-based Pedestrian Detection in a Truck’s Blind Spot Zone},
booktitle={Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2012) - Volume 2: IVC&ITS},
year={2012},
pages={561-568},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004163505610568},
isbn={978-989-8565-22-8},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2012) - Volume 2: IVC&ITS
TI - A Warping Window Approach to Real-time Vision-based Pedestrian Detection in a Truck’s Blind Spot Zone
SN - 978-989-8565-22-8
IS - 2184-2809
AU - Van Beeck, K.
AU - Goedemé, T.
AU - Tuytelaars, T.
PY - 2012
SP - 561
EP - 568
DO - 10.5220/0004163505610568
PB - SciTePress

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