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Authors: Kristof Van Beeck 1 and Toon Goedemé 2

Affiliations: 1 Campus De Nayer - KU Leuven, Belgium ; 2 Campus De Nayer - KU Leuven and KU Leuven, Belgium

ISBN: 978-989-758-091-8

Keyword(s): Pedestrian Detection, Tracking, Surveillance, Computer Vision, Real-time.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Tracking and Visual Navigation ; Video Surveillance and Event Detection

Abstract: This paper proposes a novel approach for real-time robust pedestrian tracking in surveillance images. Such images are challenging to analyse since the overall image quality is low (e.g. low resolution and high compression). Furthermore often birds-eye viewpoint wide-angle lenses are used to achieve maximum coverage with a minimal amount of cameras. These specific viewpoints make it difficult - or even unfeasible - to directly apply existing pedestrian detection techniques. Moreover, real-time processing speeds are required. To overcome these problems we introduce a pedestrian detection and tracking framework which exploits and integrates these scene constraints to achieve excellent accuracy results. We performed extensive experiments on challenging real-life video sequences concerning both speed and accuracy. We show that our approach achieves excellent accuracy results while still meeting the stringent real-time demands needed for these surveillance applications, using only a single- core CPU implementation. (More)

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Paper citation in several formats:
Van Beeck, K. and Goedemé, T. (2015). Real-time Accurate Pedestrian Detection and Tracking in Challenging Surveillance Videos.In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-091-8, pages 325-334. DOI: 10.5220/0005308703250334

@conference{visapp15,
author={Kristof Van Beeck. and Toon Goedemé.},
title={Real-time Accurate Pedestrian Detection and Tracking in Challenging Surveillance Videos},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={325-334},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005308703250334},
isbn={978-989-758-091-8},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)
TI - Real-time Accurate Pedestrian Detection and Tracking in Challenging Surveillance Videos
SN - 978-989-758-091-8
AU - Van Beeck, K.
AU - Goedemé, T.
PY - 2015
SP - 325
EP - 334
DO - 10.5220/0005308703250334

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