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Content-Based Model Template Adaptation and Real-Time System for Behavior Interpretation in Sports Video

  • Jungong Han
  • Peter H. N. de With
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4179)

Abstract

In this paper, we present a real-time sports analysis system, which not only recognizes the semantic events, but also concludes the behavior, like player’s tactics. To this end, we propose an advanced multiple-player tracking algorithm, which addresses two improvements on practical problems: (1) updating of the player template so that it remains a good model over time, and (2) adaptive scaling of the template size depending on the player motion. In this algorithm, we obtain the initial locations of players in the first frame. The tracking is performed by considering both the kinematic constraints of the player and the color distribution of appearance, thereby achieving promising results. We demonstrate the performance of the proposed system by evaluating it for double tennis matches where the player count and the resulting occlusions are challenging.

Keywords

Current Frame Target Candidate Sport Video Template Size Human Tracking 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jungong Han
    • 1
  • Peter H. N. de With
    • 1
    • 2
  1. 1.University of Technology EindhovenEindhoven
  2. 2.LogicaCMG, RTSEEindhovenThe Netherlands

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