Transfer Learning Models for CNN Fusion With Fisher Vector for Codebook Optimization of Foreground Features

Transfer Learning Models for CNN Fusion With Fisher Vector for Codebook Optimization of Foreground Features

Human action recognition has become one of the main topics in the computer vision field due to its high demand and competitiveness in real-world applications. The main goals of human action recognition are to improve classification accuracy and reduce computational complexity. Previous studies have...

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Bibliographic Details
Main Authors: Mohamed Gamal M. Kamaleldin, Syed A. R. Abu-Bakar, Usman Ullah Sheikh
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Human action recognition
pre-trained convolutional neural networks
long short-term memory (LSTM)
features encoding
optimization
Online Access:https://ieeexplore.ieee.org/document/10343140/

Internet

https://ieeexplore.ieee.org/document/10343140/

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