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Human Action Recognition Using Hybrid Deep Evolving Neural Networks

  • Published:2022-07-18 Issue: Volume: Page:
  • ISSN:
  • Container-title:2022 International Joint Conference on Neural Networks (IJCNN)
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Author:

Dasari Pavan1,Zhang Li1,Yu Yonghong2,Huang Haoqian3,Gao Rong4

Affiliation:

1. Royal Holloway, University of London,Department of Computer Science,Surrey,UK,TW20 0EX

2. Nanjing University of Posts and Telecommunications,Nanjing,China

3. College of Energy and Electrical Engineering, Hohai University,Nanjing,China

4. School of Computer Science, Hubei University of Technology,Wuhan,China

Publisher

IEEE

Reference53 articles.

1. Adaptive melanoma diagnosis using evolving clustering, ensemble and deep neural networks

2. Evolving Image Classification Architectures With Enhanced Particle Swarm Optimisation

3. Action Recognition in Realistic Sports Videos

4. Action mach: A spatio-temporal maximum average correlation height filter for action recognition;ahmed;Computer Vision and Pattern Recognition,2008

5. Recognizing 50 human action categories of web videos;reddy;Machine vision and applications journal MVAP-D-12-00032,2012

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