Detecting People in Large Crowded Spaces using 3D Data from Multiple Cameras

João Carvalho, Manuel Marques, João Paulo Costeira, Pedro Mendes Jorge

2016

Abstract

Real time monitoring of large infrastructures has human detection as a core task. Since the people anonymity is a hard constraint in these scenarios, video cameras can not be used. This paper presents a low cost solution for real time people detection in large crowded environments using multiple depth cameras. In order to detect people, binary classifiers (person/notperson) were proposed based on different sets of features. It is shown that good classification performance can be achieved choosing a small set of simple feature.

Paper Citation

in Harvard Style

Carvalho J., Marques M., Costeira J. and Jorge P. (2016). Detecting People in Large Crowded Spaces using 3D Data from Multiple Cameras . In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 218-225. DOI: 10.5220/0005727702180225

in Bibtex Style

@conference{visapp16,
author={João Carvalho and Manuel Marques and João Paulo Costeira and Pedro Mendes Jorge},
title={Detecting People in Large Crowded Spaces using 3D Data from Multiple Cameras},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={218-225},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005727702180225},
isbn={978-989-758-175-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016)
TI - Detecting People in Large Crowded Spaces using 3D Data from Multiple Cameras
SN - 978-989-758-175-5
AU - Carvalho J.
AU - Marques M.
AU - Costeira J.
AU - Jorge P.
PY - 2016
SP - 218
EP - 225
DO - 10.5220/0005727702180225