Advancing human action recognition: A hybrid approach using attention-based LSTM and 3D CNN

Advancing human action recognition: A hybrid approach using attention-based LSTM and 3D CNN

In this paper, we propose a novel approach to video action recognition that integrates a modified and optimized 3D Convolutional Neural Network, a Long Short-Term Memory network, and attention mechanisms. This synergy enhances the overall performance, offering an advantage over existing methods in m...

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Bibliographic Details
Main Authors: El Mehdi Saoudi, Jaafar Jaafari, Said Jai Andaloussi
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Scientific African
Subjects:
Human action recognition (HAR)
3D Convolutional neural network (3D CNN)
Long short-term memory (LSTM)
Attention mechanism
Online Access:http://www.sciencedirect.com/science/article/pii/S2468227623002521

Internet

http://www.sciencedirect.com/science/article/pii/S2468227623002521

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