Soccer Ball Detection in Occluded Situations for Single Static Camera Systems

Josef Halbinger, Jürgen Metzler

2013

Abstract

The interest on acquiring player and ball data during soccer games is increasing in several domains such as media. Consequently, tracking systems are becoming widely used for live data gathering. Due to costs, stadium infrastructure, media rights etc. there is a trend for stand-alone mobile low-cost soccer tracking systems. The drawback of such systems is that generally only low-resolution images of the players are available which strongly exacerbates the problem of detection and tracking the soccer ball. Besides difficulties that arise from the appearance of the ball by itself, the detection of the ball in situations where it is occluded by the players is very challenging. This paper presents a tracking framework for the reconstruction of the ball trajectory from monocular low-resolution soccer image sequences. The focus of this paper is the detection of the ball in occluded situations. The approach is tested and evaluated on Bundesliga data sets.

References

  1. Bradski, G. and Kaehler, A. (2008). Learning OpenCV: Computer vision with the OpenCV Library. O'Reilly Media, Sebastopol.
  2. D'Orazi, T. and Leo, M. (2010). A review of vision-based systems for soccer video analysis. Pattern Recognition, 43(8):2911-2926.
  3. Freeman, H. (1961). On the encoding of arbitrary geometric configurations. IRE Transactions on Electronic Computers EC, 10(2):260-268.
  4. Herrmann, C., Manger, D., and Metzler, J. (2011). Featurebased localization refinement of players in soccer using plausibility maps. In Proc. of the IPCV (WORLDCOMP), volume 2.
  5. Iivarinen, J. and Visa, A. (1996). Shape recognition of irregular objects. In Proc. SPIE 2904, pages 25-32.
  6. Kim, K., Chalidabhongse, T., Harwood, D., and Davis, L. (2004). Real-time foreground-background segmentation using codebook model. Real-Time Imaging, 11(3):172-185.
  7. Kimme, C., Ballard, D., and Sklansky, J. (1975). Finding circles by an array of accumulators. Communications of the ACM, 18(2):120-122.
Download


Paper Citation


in Harvard Style

Halbinger J. and Metzler J. (2013). Soccer Ball Detection in Occluded Situations for Single Static Camera Systems . In Proceedings of the International Congress on Sports Science Research and Technology Support - Volume 1: icSPORTS, ISBN 978-989-8565-79-2, pages 111-115. DOI: 10.5220/0004586001110115


in Bibtex Style

@conference{icsports13,
author={Josef Halbinger and Jürgen Metzler},
title={Soccer Ball Detection in Occluded Situations for Single Static Camera Systems},
booktitle={Proceedings of the International Congress on Sports Science Research and Technology Support - Volume 1: icSPORTS,},
year={2013},
pages={111-115},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004586001110115},
isbn={978-989-8565-79-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Congress on Sports Science Research and Technology Support - Volume 1: icSPORTS,
TI - Soccer Ball Detection in Occluded Situations for Single Static Camera Systems
SN - 978-989-8565-79-2
AU - Halbinger J.
AU - Metzler J.
PY - 2013
SP - 111
EP - 115
DO - 10.5220/0004586001110115