Low-light aware framework for human activity recognition via optimized dual stream parallel network

Low-light aware framework for human activity recognition via optimized dual stream parallel network

Human Activity Recognition (HAR) plays a crucial role in communication and the Internet of Things (IoT), by enabling vision sensors to understand and respond to human behavior more intelligently and efficiently. Existing deep learning models are complex to deal with the low illumination, diverse vie...

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Bibliographic Details
Main Authors: Altaf Hussain, Samee Ullah Khan, Noman Khan, Imad Rida, Meshal Alharbi, Sung Wook Baik
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:Alexandria Engineering Journal
Subjects:
Human Activity Recognition
Internet of Things
Personalized Communication
Convolutional Neural Network
Dual Stream Network
Deep Learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016823004118

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http://www.sciencedirect.com/science/article/pii/S1110016823004118

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