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Skeleton-based human action recognition has recently attracted increasing attention due to the popularity of 3D skeleton data.
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R. Li and T. Zickler · 2012
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X. Wu and Y. Jia · 2012
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View invariant human action recognition using histograms of 3D joints
L. Xia, C.-C. Chen, and J. K. Aggarwal · 2012
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R. Vemulapalli, F. Arrate, and R. Chellappa · 2014
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J. Wang, Z. Liu, and Y. Wu · 2014
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Hierarchical recurrent neural network for skeleton based action recognition
Y. Du, W. Wang, and L. Wang · 2015
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J.-g. Feng and X. Jun · 2015
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Jointly learning heterogeneous features for RGB-D activity recognition
J.-F. Hu, W.-S. Zheng, J. Lai, and J. Zhang · 2015
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Informative joints based human action recognition using skeleton contexts
M. Jiang, J. Kong, G. Bebis, and H. Huo · 2015
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Latent multitask learning for view-invariant action recognition
B. Mahasseni and S. Todorovic · 2013
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Cross-view action recognition over heterogeneous feature spaces
X. Wu, H. Wang, C. Liu, and Y. Jia · 2013
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Cross-view action recognition via a continuous virtual path
Z. Zhang, C. Wang, B. Xiao, W. Zhou, S. Liu, and C. Shi · 2013
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Learning view-invariant sparse representations for cross-view action recognition
J. Zheng and Z. Jiang · 2013
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Human activity recognition from 3d data: A review
J. K. Aggarwal and L. Xia · 2014
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Skeletal quads: Human action recognition using joint quadruples
G. Evangelidis, G. Singh, and R. Horaud · 2014
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Learning a non-linear knowledge transfer model for cross-view action recognition
H. Rahmani and A. Mian · 2015
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Space-time representation of people based on 3D skeletal data: A review
F. Han, B. Reily, W. Hoff, and H. Zhang · 2016
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Real-time RGB-D activity prediction by soft regression
J.-F. Hu, W.-S. Zheng, L. Ma, G. Wang, and J. Lai · 2016
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Spatio-temporal LSTM with trust gates for 3D human action recognition
J. Liu, A. Shahroudy, D. Xu, and G. Wang · 2016
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3d skeleton-based human action classification: a survey
L. L. Presti and M. La Cascia · 2016
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NTU RGB+D: A large scale dataset for 3D human activity analysis
A. Shahroudy, J. Liu, T.-T. Ng, and G. Wang · 2016
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Theano: A Python framework for fast computation of mathematical expressions
Theano Development Team · 2016
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Rgb-d-based action recognition datasets: A survey
J. Zhang, W. Li, P. O. Ogunbona, P. Wang, and C. Tang · 2016
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Co-occurrence feature learning for skeleton based action recognition using regularized deep LSTM networks
W. Zhu, C. Lan, J. Xing, W. Zeng, Y. Li, L. Shen, and X. Xie · 2016
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An end-to-end spatio-temporal attention model for human action recognition from skeleton data
S. Song, C. Lan, J. Xing, W. Zeng, and J. Liu · 2017
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