Latent label mining for group activity recognition in basketball videos
Author:
Affiliation:
1. Beijing University of Technology Beijing China
2. School of Electronics, Electrical Engineering and Computer Science Queen's University of Belfast Belfast UK
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12265
Reference46 articles.
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2. Ibrahim M.S. Mori G.:Hierarchical relational networks for group activity recognition and retrieval. In:Proceedings of European Conference on Computer Vision pp. 721–736.Springer Berlin(2018)
3. Qi M. et al.:stagNet: An attentive semantic RNN for group activity recognition. In:Proceedings of European Conference Computer Vision pp. 101–117.Springer Berlin(2018)
4. Deep key frame extraction for sport training
5. Xie L. et al.:Dynamic multi‐view hashing for online image retrieval. In:Proceedings of the Twenty‐Sixth International Joint Conference on Artificial Intelligence pp. 3133–3139.ACM New York(2017)
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