Deep Spatial/temporal-level feature engineering for Tennis-based action recognition
Author:
Publisher
Elsevier BV
Subject
Computer Networks and Communications,Hardware and Architecture,Software
Reference13 articles.
1. Heng Wang, Alexander Kläser, Cordelia Schmid, Liu Cheng-Lin, Action recognition by dense trajectories, in: CVPR 2011 — IEEE Conference on Computer Vision.
2. Andrej Karpathy, et al. Large-scale video classification with convolutional neural networks, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014.
3. Two-stream convolutional networks for action recognition in videos;Simonyan,2014
4. Joao Carreira, Andrew Zisserman, Quo vadis, action recognition? a new model and the kinetics dataset, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017.
5. Jeffrey Donahue, et al. Long-term recurrent convolutional networks for visual recognition and description, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015.
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