Two-Stream Deep Learning Architecture-Based Human Action Recognition

Author:

Shehzad Faheem,Attique Khan Muhammad,Asfand E. Yar Muhammad,Sharif Muhammad,Alhaisoni Majed,Tariq Usman,Majumdar Arnab,Thinnukool Orawit

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Reference45 articles.

1. Hand-crafted and deep convolutional neural network features fusion and selection strategy: An application to intelligent human action recognition;Sharif;Applied Soft Computing,2020

2. A fused heterogeneous deep neural network and robust feature selection framework for human actions recognition;Zhang;Arabian Journal for Science and Engineering,2021

3. View adaptive neural networks for high performance skeleton-based human action recognition;Zhang;IEEE Transactions on Pattern Analysis and Machine Intelligence,2019

4. Bayesian hierarchical dynamic model for human action recognition;Zhao,2019

5. Deep convolutional neural networks for human action recognition using depth maps and postures;Kamel;IEEE Transactions on Systems, Man, and Cybernetics: Systems,2018

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