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Authors: Muhammad Owais Mehmood 1 ; Sebastien Ambellouis 1 and Catherine Achard 2

Affiliations: 1 French Institute of Science and Technology for Transport, Spatial Planning and Development and Networks, France ; 2 Universite Pierre et Marie Curie, France

Keyword(s): People Localization, Ghost Pruning, Multicamera Surveillance.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Camera Networks and Vision ; Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Video Surveillance and Event Detection

Abstract: In this paper, we propose a novel ghost pruning technique for multicamera people localization in overlapping scenarios. First, synergy map is obtained from multiplanar projections across multiple overlapping cameras. Second, occupancy map is generated by back projection from the synergy map across various image layers. This back projected occupancy map is combined with constraints to remove ghosts. The novelty of this paper is the introduction of an intuitive ghost pruning technique, which does not require any temporal information. Experiments on a sequence of the PETS 2009 dataset show significant reduction in the number of ghosts. The purpose and novelty of this paper is focused to the ghost pruning module but detection metrics show results comparable to those of the complete, state-of-the-art multicamera object detection systems.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Mehmood, M.; Ambellouis, S. and Achard, C. (2014). Ghost Pruning for People Localization in Overlapping Multicamera Systems. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 1: VISAPP; ISBN 978-989-758-004-8; ISSN 2184-4321, SciTePress, pages 632-639. DOI: 10.5220/0004741306320639

@conference{visapp14,
author={Muhammad Owais Mehmood. and Sebastien Ambellouis. and Catherine Achard.},
title={Ghost Pruning for People Localization in Overlapping Multicamera Systems},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 1: VISAPP},
year={2014},
pages={632-639},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004741306320639},
isbn={978-989-758-004-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 1: VISAPP
TI - Ghost Pruning for People Localization in Overlapping Multicamera Systems
SN - 978-989-758-004-8
IS - 2184-4321
AU - Mehmood, M.
AU - Ambellouis, S.
AU - Achard, C.
PY - 2014
SP - 632
EP - 639
DO - 10.5220/0004741306320639
PB - SciTePress