A Lightweight Fine-Grained Action Recognition Network for Basketball Foul Detection

Cheng Hung Lin, Min Yen Tsai, Po Yung Chou

研究成果: 書貢獻/報告類型會議論文篇章

摘要

In recent years, deep neural networks for action recognition has attracted extensive attention because of its wide range of applications such as anomaly behavior detection in smart surveillance system. Among the proposed deep learning models, 3DCNN works very well in the action classification of large data sets, including UCF-101, HMDB-51, and Kinetics. However, for the classification of fine-grained actions, current action recognition models still need improvement. The fine-grained action means that the difference from the normal action is very small, and the time of occurrence is extremely short and difficult to distinguish. For example, in the basketball game, the foul action is a kind of fine-grained actions. Foul action recognition is very challenging because fouls in basketball games are always instantaneous and very similar to normal actions. In this paper, we propose a lightweight fine-grained action recognition model for basketball foul detection. Compared with other action recognition models such as two-stream model, 3DCNN, our proposed network has a better effect on this subtle classification task, and is lighter in parameters. The visualized foul feature distribution is concentrated in a few frames that supports our initial hypothesis that fouls always happen instantaneously. Finally, the output of this research can be used to assist in training basketball referees.

原文英語
主出版物標題2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781665433280
DOIs
出版狀態已發佈 - 2021
事件8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 - Penghu, 臺灣
持續時間: 2021 9月 152021 9月 17

出版系列

名字2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021

會議

會議8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021
國家/地區臺灣
城市Penghu
期間2021/09/152021/09/17

ASJC Scopus subject areas

  • 人工智慧
  • 電腦科學應用
  • 電氣與電子工程
  • 控制和優化
  • 儀器

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