BALL ROTATION DETECTION BASED ON ARBITRARY FEATURES

Alexander Szép

2011

Abstract

This work presents an objective method to detect ball rotation in image sequences. We apply this method to objectively classify racket sports equipment. Therefore, we observe the ball impact on a racket and compare rotation differences detected prior to and after the impact. The method combines ball center tracking with surface corner tracking to calculate ball rotation. Because our method’s application has real-time constraints our rotation detection is fully automatic. The bottom line: Our experimental results enable racket classifications. Athletes and sports federations are therefore our stakeholders.

References

  1. Boracchi, G., Caglioti, V., and Giusti, A. (2009). Estimation of 3d instantaneous motion of a ball from a single motion-blurred image. In VISIGRAPP, pages 225- 237.
  2. Goodwill, S. R. and Haake, S. J. (2004). Ball spin generation for oblique impacts with a tennis racket. Experimental Mechanics, 44(2):195-206.
  3. Lucas, B. D. and Kanade, T. (1981). An iterative imageregistration technique with application to stereo vision. In Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), pages 674-679.
  4. Neilson, P., Jones, R., Kerr, D., and Sumpter, C. (2004). An image recognition system for the measurement of soccer ball spin characteristics. Measurement Science and Technology, 15(11):2239-2247.
  5. Shi, J. and Tomasi, C. (1994). Good features to track. In 1994 IEEE Conference on Computer Vision and Pattern Recognition (CVPR'94), pages 593-600.
  6. Tamaki, T., Sugino, T., and Yamamoto, M. (2004). Measuring ball spin by image registration. In Proceedings of the Tenth Korea-Japan Joint Workshop on Frontiers of Computer Vision, pages 269-274.
  7. Theobalt, C., Albrecht, I., Haber, J., Magnor, M., and Seidel, H.-P. (2004). Pitching a baseball - tracking highspeed motion with multi-exposure images. In Proceedings of ACM SIGGRAPH.
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Paper Citation


in Harvard Style

Szép A. (2011). BALL ROTATION DETECTION BASED ON ARBITRARY FEATURES . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 700-703. DOI: 10.5220/0003372707000703


in Bibtex Style

@conference{visapp11,
author={Alexander Szép},
title={BALL ROTATION DETECTION BASED ON ARBITRARY FEATURES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={700-703},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003372707000703},
isbn={978-989-8425-47-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - BALL ROTATION DETECTION BASED ON ARBITRARY FEATURES
SN - 978-989-8425-47-8
AU - Szép A.
PY - 2011
SP - 700
EP - 703
DO - 10.5220/0003372707000703