Adversarial generation of defensive trajectories in basketball games

Chieh Yu Chen, Wenze Lai, Hsin Ying Hsieh, Yu-Shuen Wang, Wen-Hsiao Peng, Jung-Hong Chuang

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

In this paper, we present a method to generate realistic trajectories of defensive players in a basketball game based on the ball and the offensive team's movements. We train on the NBA dataset a conditional generative adversarial network that learns spatio-temporal interactions between players' movements. The network consists of two components: A generator that takes as input a latent noise vector and the offensive team's trajectories to generate defensive trajectories; and a discriminator that evaluates the realistic degree of the generated results. Our system allows players and coaches to simulate how the opposing team will react to a newly developed offensive strategy for evaluating its effectiveness. Experimental results demonstrate the feasibility of the proposed algorithm.

原文English
主出版物標題2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018
發行者Institute of Electrical and Electronics Engineers Inc.
頁數1
ISBN(電子)9781538641958
DOIs
出版狀態Published - 23 7月 2018
事件2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018 - San Diego, United States
持續時間: 23 7月 201827 7月 2018

出版系列

名字2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018

Conference

Conference2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018
國家/地區United States
城市San Diego
期間23/07/1827/07/18

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