An autoregressive generation model for producing instant basketball defensive trajectory

Huan Hua Chang, Wen Cheng Chen, Wan Lun Tsai, Min Chun Hu, Wei Ta Chu

研究成果: Conference contribution

摘要

Learning basketball tactic via virtual reality environment requires real-time feedback to improve the realism and interactivity. For example, the virtual defender should move immediately according to the player's movement. In this paper, we proposed an autoregressive generative model for basketball defensive trajectory generation. To learn the continuous Gaussian distribution of player position, we adopt a differentiable sampling process to sample the candidate location with a standard deviation loss, which can preserve the diversity of the trajectories. Furthermore, we design several additional loss functions based on the domain knowledge of basketball to make the generated trajectories match the real situation in basketball games. The experimental results show that the proposed method can achieve better performance than previous works in terms of different evaluation metrics.

原文English
主出版物標題Proceedings of the 2nd ACM International Conference on Multimedia in Asia, MMAsia 2020
發行者Association for Computing Machinery, Inc
ISBN(電子)9781450383080
DOIs
出版狀態Published - 2021 三月 7
事件2nd ACM International Conference on Multimedia in Asia, MMAsia 2020 - Virtual, Online, Singapore
持續時間: 2021 三月 7 → …

出版系列

名字Proceedings of the 2nd ACM International Conference on Multimedia in Asia, MMAsia 2020

Conference

Conference2nd ACM International Conference on Multimedia in Asia, MMAsia 2020
國家/地區Singapore
城市Virtual, Online
期間21-03-07 → …

All Science Journal Classification (ASJC) codes

  • 電腦繪圖與電腦輔助設計
  • 人機介面

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