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Authors: Floris De Smedt and Toon Goedemé

Affiliation: KU Leuven, Belgium

ISBN: 978-989-758-090-1

Keyword(s): Pedestrian Detection, Real-time, Framework.

Abstract: Pedestrian detection is a topic in computer vision of great interest for many applications. Due to that, a large amount of pedestrian detection techniques are presented in current literature, each one improving previous techniques. The improvement in accuracy in recent pedestrian detection, is commonly in combination with a higher computational requirement. Although, recently a technique was proposed to combine multiple detection algorithms to improve accuracy instead. Since the evaluation speed of this combination is dependent on the detection algorithm it uses, we provide an open framework that includes multiple pedestrian detection algorithms, and the technique to combine them. We show that our open implementation is superior on speed, accuracy and peak memory-use when compared to other publicly available implementations.

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Paper citation in several formats:
De Smedt, F. and Goedemé, T. (2015). Open Framework for Combined Pedestrian Detection.In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-090-1, pages 551-558. DOI: 10.5220/0005359205510558

@conference{visapp15,
author={Floris De Smedt. and Toon Goedemé.},
title={Open Framework for Combined Pedestrian Detection},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={551-558},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005359205510558},
isbn={978-989-758-090-1},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)
TI - Open Framework for Combined Pedestrian Detection
SN - 978-989-758-090-1
AU - De Smedt, F.
AU - Goedemé, T.
PY - 2015
SP - 551
EP - 558
DO - 10.5220/0005359205510558

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