Offensive Tactics Recognition in Broadcast Basketball Videos Based on 2D Camera View Player Heatmaps

Author:

Pan Tse-Yu1ORCID,Prawiro Herman2ORCID,Peng Jian-Wei2ORCID,Chen Wen-Cheng2ORCID,Chu Hung-Kuo2ORCID,Hu Min-Chun2ORCID

Affiliation:

1. National Taiwan University of Science and Technology, Taiwan

2. National Tsing Hua University, Taiwan

Funder

Ministry of Science and Technology

National Science and Technology Council

Publisher

ACM

Reference11 articles.

1. Yang-Sheng Chao Wen-Cheng Chen Jian-Wei Peng and Min-Chun Hu. 2022. Learning Robut Latent Space of Basketball Player Trajectories for Tactics Analysis. In 2022 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME). Yang-Sheng Chao Wen-Cheng Chen Jian-Wei Peng and Min-Chun Hu. 2022. Learning Robut Latent Space of Basketball Player Trajectories for Tactics Analysis. In 2022 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME).

2. Spatio-Temporal Learning of Basketball Offensive Strategies

3. Recognizing tactic patterns in broadcast basketball video using player trajectory

4. Junyoung Chung , Caglar Gulcehre , KyungHyun Cho , and Yoshua Bengio . 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 ( 2014 ). Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio. 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 (2014).

5. InfiniZero. 2018 . NBA 2018 Dataset. https://share.weiyun.com/eV1Zx84G. Accessed: 2021-7-14 . InfiniZero. 2018. NBA 2018 Dataset. https://share.weiyun.com/eV1Zx84G. Accessed: 2021-7-14.

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