A NOVEL SEGMENTATION METHOD FOR CROWDED SCENES

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

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.

References

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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