Human Action Recognition From Various Data Modalities: A Review
Author:
Affiliation:
1. Singapore University of Technology and Design, Singapore
2. Monash University, Australia
3. Lancaster University, U.K.
4. The University of Western Australia, Australia
5. Alibaba Group, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software
Link
http://xplorestaging.ieee.org/ielx7/34/4359286/09795869.pdf?arnumber=9795869
Reference425 articles.
1. Memory Attention Networks for Skeleton-based Action Recognition
2. Deep Bilinear Learning for RGB-D Action Recognition
3. Action recognition for depth video using multi-view dynamic images
4. Skeleton based action recognition with convolutional neural network
5. Combining CNN streams of RGB-D and skeletal data for human activity recognition
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