Tracking Soccer Ball in TV Broadcast Video

  • Kyuhyoung Choi
  • Yongduek Seo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3617)

Abstract

This paper focuses on soccer ball tracking which is known to be more difficult than that of players due to its small size in an image and abrupt changes in its motion. Suggested is an effective soccer ball tracking algorithm which estimates ball position by exploiting the background image and player tracking results. In other words, the trajectory of ball is derived as image blobs by eliminating player blobs and the background parts from an image sequence.  This algorithm performed well on a pretty long TV broadcast sequence in which the ball is frequently occluded by players.

Keywords

Soccer Player Soccer Game Proposal Density Ball Detection Ball Trajectory 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Intille, S., Bobick, A.: Closed-world tracking. In: Proc. Int. Conf. on Computer Vision (1995)Google Scholar
  2. 2.
    Yow, D., Yeo, B., Yeung, M., Liu, B.: Analysis and presentation of soccer highlights from digital video. In: Proc. Asian Conf. on Computer Vision (1995)Google Scholar
  3. 3.
    Seo, Y., Choi, S., Kim, H., Hong, K.: Where are the ball and players? soccer game analysis with color-based tracking and image mosaick. In: Proc. Int. Conf. on Image Analysis and Processing, Florence, Italy (1997)Google Scholar
  4. 4.
    Iwase, S., Saito, H.: Tracking soccer player using multiple views. In: IAPR Workshop on Machine Vision Applications (2002)Google Scholar
  5. 5.
    Ok, H., Seo, Y., Hong, K.: Multiple soccer players tracking by condensation with occlusion alarm probability. In: Tistarelli, M., Bigun, J., Jain, A.K. (eds.) ECCV 2002. LNCS, vol. 2359. Springer, Heidelberg (2002)Google Scholar
  6. 6.
    Yoon, H., Bae, Y., Yang, Y.: A soccer image mosaicking and analysis method using line and advertisement board detection. ETRI Journal 24 (2002)Google Scholar
  7. 7.
    Utsumi, O., Miura, K.: IDE, I., Sakai, S., Tanaka, H.: An object detection method for describing soccer games from video. In: IEEE International Conference on Multimedia and Expo (ICME) (2002)Google Scholar
  8. 8.
    Kang, J., Cohen, I., Medioni, G.: Soccer player tracking across uncalibrated camera streams. In: Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS) (2003)Google Scholar
  9. 9.
    Yamada, A., Shirai, Y., Miura, J.: Tracking players and a ball in video image sequence and estimating camera parameters for 3d interpretation of soccer games. In: Proc. International Conference on Pattern Recognition (2002)Google Scholar
  10. 10.
    Yu, X., Xu, C., Leong, H., Tian, Q., Tang, Q., Wan, K.: Trajectory-based ball detection and tracking with applications to semantic analysis of broadcast soccer video. In: ACM MM 2003, Berkeley, pp. 11–20 (2003)Google Scholar
  11. 11.
    Tong, X.F., Lu, H.Q., Liu, Q.S.: An effective and fast soccer ball detection and tracking method. In: ICPR, vol. (4), pp. 795–798 (2004)Google Scholar
  12. 12.
    Choi, K., Seo, Y.: Probabilistic tracking of the soccer ball. In: Int. Workshop on Statistical Methods in Video Processing, in conjunction with ECCV 2004, Prague, Czech Republic (2004)Google Scholar
  13. 13.
    Kitagawa, G.: Monte-carlo filter and smoother for non-gaussian nonlinear state space model. Journal of Computational and Graphical Statistics (1996)Google Scholar
  14. 14.
    Blake, A., Isard, M.: Active Contours. Springer, Heidelberg (1997)Google Scholar
  15. 15.
    Liu, J., Chen, R.: Sequential Monte Carlo methods for dynamic systems (1998)Google Scholar
  16. 16.
    Doucet, A., Godsill, S., Andrieu, C.: On sequential monte-carlo sampling methods for bayesian filtering (2000)Google Scholar
  17. 17.
    Doucet, A., Freitas, N.D., Gordon, N. (eds.): Sequential Monte Carlo Methods in Practice. Springer, Heidelberg (2001)MATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Kyuhyoung Choi
    • 1
  • Yongduek Seo
    • 1
  1. 1.Dept. of Media TechnologySogang UniversitySeoulKorea

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