Ghost Pruning for People Localization in Overlapping Multicamera Systems

Muhammad Owais Mehmood, Sebastien Ambellouis, Catherine Achard

2014

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.

Paper Citation

in Harvard Style

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 - Volume 2: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-004-8, pages 632-639. DOI: 10.5220/0004741306320639

in Bibtex Style

@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 - Volume 2: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={632-639},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004741306320639},
isbn={978-989-758-004-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)
TI - Ghost Pruning for People Localization in Overlapping Multicamera Systems
SN - 978-989-758-004-8
AU - Mehmood M.
AU - Ambellouis S.
AU - Achard C.
PY - 2014
SP - 632
EP - 639
DO - 10.5220/0004741306320639