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Real-world trajectory extraction for attack pattern analysis in soccer video

Published: 25 October 2010 Publication History
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  • Abstract

    Most existing approaches on tactic analysis of soccer video are based on mosaic trajectory analysis, which loses much semantic information comparing to the real-world trajectory. Without effective extraction of real-world trajectory, the tactic of soccer cannot be properly represented and analyzed from the perspective of soccer professionals. In this paper, a real-world trajectory extraction method is proposed. Moreover, six attack patterns are defined to represent tactic of soccer, and a novel attack pattern recognition algorithm is developed based on the analysis of the ball's state and real-world trajectory. To our best knowledge, this is the first work of its kind that systematically analyzes tactic of soccer based on real-world trajectory for broadcast soccer video. Our experiments demonstrate that the defined attack pattern can be effectively recognized.

    References

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    T. Mei and X. Hua, "Structure and event mining in sports video with efficient mosaic," Multimedia Tools and Applications (MTA), vol. 40, no. 1, pp. 89--110, 2008.
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    X. Gao, Z. Niu, D. Tao, and X. Li. "Non-goal scene analysis for soccer video," Neurocomputing, 2010.
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    S. Hirano and S. Tsumoto, "Finding interesting pass patterns from soccer game records," in Proc. Eur. Conf. Principles and Practice of Knowledge Discovery in Databases, vol. 3202, pp. 209--218, 2004.
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    C. H. Kang, J. R. Hwang, and K. J. Li, "Trajectory analysis for soccer players," in Proc. Int. Conf. Data Mining Workshops, pp. 377--381, 2006.
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    Z. Zhang, "A flexible new technique for camera calibration," IEEE Trans. Pattern Analysis and Machine Intelligence, 22(11):1330--1334, 2000.
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    J. Daniel, "The complete guide to coaching soccer systems and tactics," Reedswain, 2004.

    Cited By

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    • (2012)Tactic analysis based on real-world ball trajectory in soccer videoPattern Recognition10.1016/j.patcog.2011.10.02345:5(1937-1947)Online publication date: May-2012

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    1. Real-world trajectory extraction for attack pattern analysis in soccer video

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      cover image ACM Conferences
      MM '10: Proceedings of the 18th ACM international conference on Multimedia
      October 2010
      1836 pages
      ISBN:9781605589336
      DOI:10.1145/1873951
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      New York, NY, United States

      Publication History

      Published: 25 October 2010

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      Author Tags

      1. attack pattern
      2. real-world trajectory
      3. tactic analysis

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      October 25 - 29, 2010
      Firenze, Italy

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      Overall Acceptance Rate 995 of 4,171 submissions, 24%

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      • (2012)Tactic analysis based on real-world ball trajectory in soccer videoPattern Recognition10.1016/j.patcog.2011.10.02345:5(1937-1947)Online publication date: May-2012

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