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Improving Human Action Recognition Through Cross-View Camera-Aware Augmentation

Human Action Recognition (HAR) is vital in surveillance, sports analysis, and Human–Computer Interaction (HCI). Publicly available benchmarks mostly suffer from limited sample sizes, class imbalance, occlusions, and viewpoint variability, which may affect model generalization. Most existing HAR augm...

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Principais autores: Zahid Khaskheli, Qasim Ali, M Shehram Shah, Din Muhammad, Farast Ali, Hina Ali, Maria Khalid, Zoha Waheed, Umer Gaffar
Formato: Artigo
Idioma:Inglês
Publicado em: Mehran University of Engineering and Technology 2026-07-01
coleção:Mehran University Research Journal of Engineering and Technology
Assuntos:
human action recognition
3d neural networks
deep learning
data augmentation
cross-view action recognition
spatiotemporal feature learning
Acesso em linha:https://murjet.muet.edu.pk/index.php/home/article/view/905
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