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Authors: Domenico Bloisi 1 ; Luca Iocchi 1 ; Dorothy N. Monekosso 2 and Paolo Remagnino 2

Affiliations: 1 Sapienza University of Rome, Italy ; 2 Kingston University London, United Kingdom

Keyword(s): Stereo vision, Background modeling, Segmentation, Crowded environments.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Human-Computer Interaction ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems ; Real-Time Vision ; Segment Cluster Tracking ; Stereo Vision and Structure from Motion ; Tracking of People and Surveillance

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.

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Paper citation in several formats:
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 (VISIGRAPP 2009) - Volume 2: VISAPP; ISBN 978-989-8111-69-2; ISSN 2184-4321, SciTePress, pages 484-489. DOI: 10.5220/0001792604840489

@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 (VISIGRAPP 2009) - Volume 2: VISAPP},
year={2009},
pages={484-489},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001792604840489},
isbn={978-989-8111-69-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP
TI - A NOVEL SEGMENTATION METHOD FOR CROWDED SCENES
SN - 978-989-8111-69-2
IS - 2184-4321
AU - Bloisi, D.
AU - Iocchi, L.
AU - N. Monekosso, D.
AU - Remagnino, P.
PY - 2009
SP - 484
EP - 489
DO - 10.5220/0001792604840489
PB - SciTePress

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