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Player trajectory reconstruction for tactical analysis

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Abstract

To increase the performance of sport team, the tactical analysis of team from game video is essential. Trajectories of the players are the most useful cues in a sport video for tactical analysis. In this paper, we propose a technique to reconstruct the trajectories of players from broadcast basketball videos. We first propose a mosaic based approach to detect the boundary lines of court. Then, the locations of players are determined by the integration of shape and color visual information. A layered graph is constructed for the detected players, which includes all possible trajectories. A dynamic programming based algorithm is applied to find the trajectory of each player. Finally, the trajectories of players are displayed on a standard basketball court model by a homography transformation. In contrast to related works, our approach exploits more spatio-temporal information in video. Experimental results show that the proposed approach works well and outperforms some existing technique.

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Authors and Affiliations

  1. Department of Computer Science and Information Engineering, Fu Jen University, New Taipei, Taiwan

    Liang-Hua Chen & Hsiang-An Hsiao

  2. Department of Information and Computer Engineering, Chung Yuan University, Chung Li, Taiwan

    Chih-Wen Su

Authors
  1. Liang-Hua Chen
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  2. Chih-Wen Su
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  3. Hsiang-An Hsiao
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Correspondence to Liang-Hua Chen.

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Chen, LH., Su, CW. & Hsiao, HA. Player trajectory reconstruction for tactical analysis. Multimed Tools Appl 77, 30475–30486 (2018). https://doi.org/10.1007/s11042-018-6164-5

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  • DOI: https://doi.org/10.1007/s11042-018-6164-5

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