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Lightweight Human Action Recognition Using Deep Learning by Disha Prashar is a document available to read on EtoBox.

What is Lightweight Human Action Recognition Using Deep Learning about?

The document outlines a study on Human Action Recognition (HAR) using deep learning, focusing on designing a lightweight model for efficient action recognition using the UCF101 dataset. It discusses the evolution of HAR methods, including the use of 3D CNNs and lightweight models, while emphasizing the need for balancing speed and accuracy in real-time applications. The proposed framework includes steps for video processing, model training, and future work aimed at optimizing the model for deployment on low

Author

Disha Prashar

Language

EN