HADE: Exploiting Human Action Recognition Through Fine-Tuned Deep Learning Methods

Human Action Recognition (HAR) is a vital area of computer vision with diverse applications in security, healthcare, and human-computer interaction. Addressing the challenges of HAR, particularly in dynamic and complex environments, is essential to advancing this field. The strength of the HADE fram...

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Detalles Bibliográficos

Principais autores:	Misha Karim, Shah Khalid, Aliya Aleryani, Nasser Tairan, Zafar Ali, Farman Ali
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2024-01-01
Series:	IEEE Access
Assuntos:	Human action recognition computer vision machine learning SlowFast I3D ResNet50 real-time action recognition
Acceso en liña:	https://ieeexplore.ieee.org/document/10474006/
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