2-D skeleton-based action recognition via two-branch stacked LSTM-RNNs
Action recognition in video sequences is an interesting field for many computer vision
applications, including behavior analysis, event recognition, and video surveillance. In this …
applications, including behavior analysis, event recognition, and video surveillance. In this …
Learning composite latent structures for 3D human action representation and recognition
P Wei, H Sun, N Zheng - IEEE Transactions on Multimedia, 2019 - ieeexplore.ieee.org
3D human action representation and recognition are important issues in many multimedia
applications. While latent state approaches have been widely used for action modeling …
applications. While latent state approaches have been widely used for action modeling …
Scalable and compact 3D action recognition with approximated RBF kernel machines
Despite the recent deep learning (DL) revolution, kernel machines still remain powerful
methods for action recognition. DL has brought the use of large datasets and this is typically …
methods for action recognition. DL has brought the use of large datasets and this is typically …
A weighting scheme for mining key skeletal joints for human action recognition
A novel class-dependent joint weighting method is proposed to mine the key skeletal joints
for human action recognition. Existing deep learning methods or those based on hand …
for human action recognition. Existing deep learning methods or those based on hand …
[PDF][PDF] Ensemble Spatio-Temporal Distance Net for Skeleton Based Action Recognition.
M Naveenkumar, S Domnic - Scalable Comput. Pract. Exp., 2019 - scpe.org
With the recent developments in sensor technology and pose estimation algorithms,
skeleton based action recognition has become popular. This paper proposes a deep …
skeleton based action recognition has become popular. This paper proposes a deep …