Football Action Recognition Using Hierarchical LSTM-Reference-Cited by-同舟云学术

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Football Action Recognition Using Hierarchical LSTM

Published:2017-07 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Tsunoda Takamasa,Komori Yasuhiro,Matsugu Masakazu,Harada Tatsuya

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8014302/8014734/08014759.pdf?arnumber=8014759

Cited by 38 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Active Factor Graph Network for Group Activity Recognition;IEEE Transactions on Image Processing;2024

2. Badminton Shot Recognition with LSTM Network;Lecture Notes in Networks and Systems;2024

3. Front Row: Automatically Generating Immersive Audio Representations of Tennis Broadcasts for Blind Viewers;Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology;2023-10-29

4. Two‐stream spatiotemporal networks for skeleton action recognition;IET Image Processing;2023-07-10

5. A Key-frame Extraction for Object Detection and Human Action Recognition in Soccer Game Videos;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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