Human Action Recognition Based on Transfer Learning Approach

Human Action Recognition Based on Transfer Learning Approach

Human action recognition techniques have gained significant attention among next-generation technologies due to their specific features and high capability to inspect video sequences to understand human actions. As a result, many fields have benefited from human action recognition techniques. Deep l...

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Bibliographic Details
Main Authors: Yousry Abdulazeem, Hossam Magdy Balaha, Waleed M. Bahgat, Mahmoud Badawy
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Convolutional neural network (CNN)
human action recognition (HAR)
long short-term memory (LSTM)
spatiotemporal info
transfer learning (TL)
Online Access:https://ieeexplore.ieee.org/document/9447028/

Internet

https://ieeexplore.ieee.org/document/9447028/

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