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Authors: Nyan Bo Bo ; Francis Deboeverie ; Peter Veelaert and Wilfried Philips

Affiliation: Ghent University/iMinds, Belgium

Keyword(s): Multi-camera Tracking, Decentralized System, Joint-likelihood Maximization.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Camera Networks and Vision ; Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Tracking and Visual Navigation

Abstract: This paper presents a new method to track multiple people reliably using a network of calibrated smart cameras. The task of tracking multiple persons is very difficult due to non-rigid nature of the human body, occlusions and environmental changes. Our proposed method recursively updates the positions of all persons based on the observed foreground images from all smart cameras and the previously known location of each person. The performance of our proposed method is evaluated on indoor video sequences containing person– person/object–person occlusions and sudden illumination changes. The results show that our method performs well with Multiple Object Tracking Accuracy as high as 100% and Multiple Object Tracking Precision as high as 86%. Performance comparison to a state of the art tracking system shows that our method outperforms.

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Paper citation in several formats:
Bo Bo, N.; Deboeverie, F.; Veelaert, P. and Philips, W. (2016). Multiple People Tracking in Smart Camera Networks by Greedy Joint-Likelihood Maximization. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 602-609. DOI: 10.5220/0005716206020609

@conference{visapp16,
author={Nyan {Bo Bo}. and Francis Deboeverie. and Peter Veelaert. and Wilfried Philips.},
title={Multiple People Tracking in Smart Camera Networks by Greedy Joint-Likelihood Maximization},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP},
year={2016},
pages={602-609},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005716206020609},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP
TI - Multiple People Tracking in Smart Camera Networks by Greedy Joint-Likelihood Maximization
SN - 978-989-758-175-5
IS - 2184-4321
AU - Bo Bo, N.
AU - Deboeverie, F.
AU - Veelaert, P.
AU - Philips, W.
PY - 2016
SP - 602
EP - 609
DO - 10.5220/0005716206020609
PB - SciTePress

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