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Authors: A. Koutsia 1 ; N. Grammalidis 1 ; K. Dimitropoulos 1 ; M. Karaman 2 and L. Goldmann 2

Affiliations: 1 Informatics and Telematics Institute, Centre of Research and Technology Hellas, Greece ; 2 Communication Systems Group, Technical University of Berlin, Germany

Keyword(s): Multiple cameras, multi-target tracking, football game analysis, background segmentation.

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

Abstract: In this work, our aim is to develop an automated system which provides data useful for football game analysis. Information from multiple cameras is used to perform player detection, classification and tracking. A background segmentation approach, which operates with the invariant Gaussian colour model and uses temporal information, is used to achieve more accurate results. Information derived and matched from all cameras is then used to perform tracking, using an advanced Multiple Hypothesis Tracking algorithm.

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Paper citation in several formats:
Koutsia, A.; Grammalidis, N.; Dimitropoulos, K.; Karaman, M. and Goldmann, L. (2007). FOOTBALL PLAYER TRACKING FROM MULTIPLE VIEWS - Using a Novel Background Segmentation Algorithm and Multiple Hypothesis Tracking. In Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP; ISBN 978-972-8865-74-0; ISSN 2184-4321, SciTePress, pages 523-526. DOI: 10.5220/0002051205230526

@conference{visapp07,
author={A. Koutsia. and N. Grammalidis. and K. Dimitropoulos. and M. Karaman. and L. Goldmann.},
title={FOOTBALL PLAYER TRACKING FROM MULTIPLE VIEWS - Using a Novel Background Segmentation Algorithm and Multiple Hypothesis Tracking},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP},
year={2007},
pages={523-526},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002051205230526},
isbn={978-972-8865-74-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP
TI - FOOTBALL PLAYER TRACKING FROM MULTIPLE VIEWS - Using a Novel Background Segmentation Algorithm and Multiple Hypothesis Tracking
SN - 978-972-8865-74-0
IS - 2184-4321
AU - Koutsia, A.
AU - Grammalidis, N.
AU - Dimitropoulos, K.
AU - Karaman, M.
AU - Goldmann, L.
PY - 2007
SP - 523
EP - 526
DO - 10.5220/0002051205230526
PB - SciTePress