Human Activity Recognition Using Cascaded Dual Attention CNN and Bi-Directional GRU Framework

Human Activity Recognition Using Cascaded Dual Attention CNN and Bi-Directional GRU Framework

Vision-based human activity recognition (HAR) has emerged as one of the essential research areas in video analytics. Over the last decade, numerous advanced deep learning algorithms have been introduced to recognize complex human actions from video streams. These deep learning algorithms have shown...

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Bibliographic Details
Main Authors: Hayat Ullah, Arslan Munir
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Journal of Imaging
Subjects:
convolutional neural network
channel–spatial attention
activity recognition
gated recurrent unit
pattern recognition
deep learning
Online Access:https://www.mdpi.com/2313-433X/9/7/130

Internet

https://www.mdpi.com/2313-433X/9/7/130

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