Keys for Action: An Efficient Keyframe-Based Approach for 3D Action Recognition Using a Deep Neural Network
In this paper, we propose a novel and efficient framework for 3D action recognition using a deep learning architecture. First, we develop a 3D normalized pose space that consists of only 3D normalized poses, which are generated by discarding translation and orientation information. From these poses,...
Main Authors: | Hashim Yasin, Mazhar Hussain, Andreas Weber |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-04-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/8/2226 |
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