標題: | ADVERSARIAL GENERATION OF DEFENSIVE TRAJECTORIES IN BASKETBALL GAMES |
作者: | Chen, Chieh-Yu Lai, Wenze Hsieh, Hsin-Ying Wang, Yu-Shuen Peng, Wen-Hsiao Chuang, Jung-Hong 交大名義發表 National Chiao Tung University |
關鍵字: | Conditional adversarial network;basketball;strategies |
公開日期: | 1-一月-2018 |
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. |
URI: | http://hdl.handle.net/11536/152009 |
ISBN: | 978-1-5386-4195-8 |
ISSN: | 2330-7927 |
期刊: | 2018 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA & EXPO WORKSHOPS (ICMEW 2018) |
起始頁: | 0 |
結束頁: | 0 |
顯示於類別: | 會議論文 |