loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

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

ISBN: 978-972-8865-74-0

ISSN: 2184-4321

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.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.236.126.101

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Koutsia A.; Grammalidis N.; Dimitropoulos K.; Karaman M.; Goldmann L. and (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 - Volume 2: VISAPP, ISBN 978-972-8865-74-0, 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 - Volume 2: VISAPP,},
year={2007},
pages={523-526},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002051205230526},
isbn={978-972-8865-74-0},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - 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
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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.