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.