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Authors: Anastasios L. Kesidis and Dimitrios I. Kosmopoulos

Affiliation: Computational Intelligence Laboratory, Institute of Informatics and Telecomunications National Center for Scientific Research “Demokritos”, Greece

Keyword(s): Multiple views, Occlusions, Homography.

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 ; Tracking of People and Surveillance

Abstract: The problem of human detection in crowded scenes where people may occlude each other has been tackled recently using the planar homography constraint in a multiple view framework. The foreground objects detected in each view are projected on a common plane in an accumulated fashion and then the maxima of this accumulation are matched to the moving targets. However the superposition of foreground objects projections on a common plane may create artifacts which can seriously disorientate a human detector by creating false positives. In this work we present a method which eliminates those artifacts by using only geometrical information thus contributing to robust human detection for multiple views. The presented experimental results validate the proposed approach.

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Paper citation in several formats:
L. Kesidis, A. and I. Kosmopoulos, D. (2009). ROBUST OCCLUSION HANDLING WITH MULTIPLE CAMERAS USING A HOMOGRAPHY CONSTRAINT. 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 560-565. DOI: 10.5220/0001804605600565

@conference{visapp09,
author={Anastasios {L. Kesidis} and Dimitrios {I. Kosmopoulos}},
title={ROBUST OCCLUSION HANDLING WITH MULTIPLE CAMERAS USING A HOMOGRAPHY CONSTRAINT},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP},
year={2009},
pages={560-565},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001804605600565},
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 - ROBUST OCCLUSION HANDLING WITH MULTIPLE CAMERAS USING A HOMOGRAPHY CONSTRAINT
SN - 978-989-8111-69-2
IS - 2184-4321
AU - L. Kesidis, A.
AU - I. Kosmopoulos, D.
PY - 2009
SP - 560
EP - 565
DO - 10.5220/0001804605600565
PB - SciTePress

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