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Authors: Panagiotis Agrafiotis ; Elisavet K. Stathopoulou ; Andreas Georgopoulos and Anastasios Doulamis

Affiliation: National Technical University of Athens, Greece

Keyword(s): HDR Imaging, People Detection, People Tracking.

Abstract: Videos and image sequences of indoor environments with challenging illumination conditions often capture either brightly lit or dark scenes where every single exposure may contain overexposed and/or underexposed regions. High Dynamic Range (HDR) images contain information that standard dynamic range ones, often mentioned also as low dynamic range images (SDR/LDR) cannot capture. This paper investigates the contribution of HDR imaging in people detection and tracking systems. In order to evaluate this contribution of the HDR imaging in the accuracy and robustness of pedestrian detection and tracking in challenging indoor visual conditions, two state of the art trackers of different complexity were implemented. To this direction data were collected taking into account the requirements and real-life indoor scenarios and HDR frames were produced. The algorithms were applied to the SDR data and their corresponding HDR data and were compared and evaluated for their robustness and accuracy in terms of precision and recall. Results show that that the use of HDR images enhances the performance of the detection and tracking scheme, making it robust and more reliable. (More)

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Paper citation in several formats:
Agrafiotis, P.; Stathopoulou, E.; Georgopoulos, A. and Doulamis, A. (2015). HDR Imaging for Enchancing People Detection and Tracking in Indoor Environments. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: MMS-ER3D; ISBN 978-989-758-090-1; ISSN 2184-4321, SciTePress, pages 623-630. DOI: 10.5220/0005456706230630

@conference{mms-er3d15,
author={Panagiotis Agrafiotis. and Elisavet K. Stathopoulou. and Andreas Georgopoulos. and Anastasios Doulamis.},
title={HDR Imaging for Enchancing People Detection and Tracking in Indoor Environments},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: MMS-ER3D},
year={2015},
pages={623-630},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005456706230630},
isbn={978-989-758-090-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: MMS-ER3D
TI - HDR Imaging for Enchancing People Detection and Tracking in Indoor Environments
SN - 978-989-758-090-1
IS - 2184-4321
AU - Agrafiotis, P.
AU - Stathopoulou, E.
AU - Georgopoulos, A.
AU - Doulamis, A.
PY - 2015
SP - 623
EP - 630
DO - 10.5220/0005456706230630
PB - SciTePress

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