A NOVEL SEGMENTATION METHOD FOR CROWDED SCENES

Domenico Bloisi, Luca Iocchi, Dorothy N. Monekosso, Paolo Remagnino

2009

Abstract

Video surveillance is one of the most studied application in Computer Vision. We propose a novel method to identify and track people in a complex environment with stereo cameras. It uses two stereo cameras to deal with occlusions, two different background models that handle shadows and illumination changes and a new segmentation algorithm that is effective in crowded environments. The algorithm is able to work in real time and results demonstrating the effectiveness of the approach are shown.

Paper Citation

in Harvard Style

Bloisi D., Iocchi L., N. Monekosso D. and Remagnino P. (2009). A NOVEL SEGMENTATION METHOD FOR CROWDED SCENES . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 484-489. DOI: 10.5220/0001792604840489

in Bibtex Style

@conference{visapp09,
author={Domenico Bloisi and Luca Iocchi and Dorothy N. Monekosso and Paolo Remagnino},
title={A NOVEL SEGMENTATION METHOD FOR CROWDED SCENES},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={484-489},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001792604840489},
isbn={978-989-8111-69-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)
TI - A NOVEL SEGMENTATION METHOD FOR CROWDED SCENES
SN - 978-989-8111-69-2
AU - Bloisi D.
AU - Iocchi L.
AU - N. Monekosso D.
AU - Remagnino P.
PY - 2009
SP - 484
EP - 489
DO - 10.5220/0001792604840489