OCCUPANCY ANALYSIS OF SPORTS ARENAS USING THERMAL IMAGING

Rikke Gade, Anders Jørgensen, Thomas B. Moeslund

Abstract

This paper presents a system for automatic analysis of the occupancy of sports arenas. By using a thermal camera for image capturing the number of persons and their location on the court are found without violating any privacy issues. The images are binarised with an automatic threshold method. Reflections due to shiny surfaces are eliminated by analysing symmetric patterns. Occlusions are dealt with through a concavity analysis of the binary regions. The system is tested in five different sports arenas, for more than three full weeks altogether. These tests showed that after a short initialisation routine the system operates independent of the different environments. The system can very precisely distinguish between zero, some or many persons on the court and give a good indication of which parts of the court that has been used.

References

  1. Bertozzi, M., Broggi, A., Grisleri, P., Graf, T., and Meinecke, M. (2003). Pedestrian detection in infrared images. In Intelligent Vehicles Symposium, 2003. Proceedings. IEEE, pages 662 - 667.
  2. Brixen, S., Larsen, K. H., Lindholm, J. V., Nielsen, K. F., and Riiskjaer, S. (2010). Strategi 2015: En Situationsanalyse (Strategy 2015: A Situation Analysis). DGI.
  3. Criminisi, A. (1997). Computing the plane to plane homography. Technical report, University of Oxford.
  4. Davis, J. and Sharma, V. (2004). Robust detection of people in thermal imagery. In Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on, volume 4, pages 713 - 716 Vol.4.
  5. DST, D. S. (2006). Tabel 44: De vaernepligtiges højde (conscripts' height in 2006). http://www.dst.dk/aarbogstabel/44.
  6. Kapur, J., Sahoo, P., and Wong, A. (1985). A new method for gray-level picture thresholding using the entropy of the histogram. Computer Vision, Graphics, and Image Processing, 29(3):273 - 285.
  7. Ko, T. (2008). A survey on behavior analysis in video surveillance for homeland security applications. In Applied Imagery Pattern Recognition Workshop, 2008. AIPR 7808. 37th IEEE, pages 1 -8.
  8. Moeslund, T. B., Hilton, A., Krü ger, V., and Sigal, L. (2011). Visual Analysis of Humans - Looking at People. Springer.
  9. Needham, C. J. and Boyle, R. D. (2001). Tracking multiple sports players through occlusion, congestion and scale. In British Machine Vision Conference, pages 93-102.
  10. Pilgaard, M. (2009). Sport og Motion i Danskernes Hverdag (Sport and Exercise in the Everyday Life of Danish People). Idraettens Analyseinstitut.
  11. Saito, H., Inamoto, N., and Iwase, S. (2004). Sports scene analysis and visualization from multiple-view video. In Multimedia and Expo, 2004. ICME 7804. 2004 IEEE International Conference on, volume 2, pages 1395 -1398 Vol.2.
  12. Suzuki, S. and Abe, K. (1985). Topological structural analysis of digitized binary images by border following. Computer Vision, Graphics, and Image Processing, 30(1):32 - 46.
  13. Turaga, P., Chellappa, R., Subrahmanian, V., and Udrea, O. (2008). Machine recognition of human activities: A survey. Circuits and Systems for Video Technology, IEEE Transactions on, 18(11):1473 -1488.
  14. Wang, W., Zhang, J., and Shen, C. (2010). Improved human detection and classification in thermal images. In Image Processing (ICIP), 2010 17th IEEE International Conference on, pages 2313 -2316.
  15. Wei, W. and Yunxiao, A. (2009). Vision-based human motion recognition: A survey. In Intelligent Networks and Intelligent Systems, 2009. ICINIS 7809. Second International Conference on, pages 386 -389.
  16. Wong, W. K., Chew, Z. Y., Loo, C. K., and Lim, W. S. (2010). An effective trespasser detection system using thermal camera. In Computer Research and Development, 2010 Second International Conference on, pages 702 -706.
  17. Wong, W. K., Tan, P. N., Loo, C. K., and Lim, W. S. (2009). An effective surveillance system using thermal camera. In Signal Acquisition and Processing, 2009. ICSAP 2009. International Conference on, pages 13 -17.
  18. Xing, J., Ai, H., Liu, L., and Lao, S. (2011). Multiple player tracking in sports video: A dual-mode two-way bayesian inference approach with progressive observation modeling. Image Processing, IEEE Transactions on, 20(6):1652 -1667.
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Paper Citation


in Harvard Style

Gade R., Jørgensen A. and B. Moeslund T. (2012). OCCUPANCY ANALYSIS OF SPORTS ARENAS USING THERMAL IMAGING . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-04-4, pages 277-283. DOI: 10.5220/0003843202770283


in Bibtex Style

@conference{visapp12,
author={Rikke Gade and Anders Jørgensen and Thomas B. Moeslund},
title={OCCUPANCY ANALYSIS OF SPORTS ARENAS USING THERMAL IMAGING},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={277-283},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003843202770283},
isbn={978-989-8565-04-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)
TI - OCCUPANCY ANALYSIS OF SPORTS ARENAS USING THERMAL IMAGING
SN - 978-989-8565-04-4
AU - Gade R.
AU - Jørgensen A.
AU - B. Moeslund T.
PY - 2012
SP - 277
EP - 283
DO - 10.5220/0003843202770283