Deep learning-based multi-view 3D-human action recognition using skeleton and depth data

• Published in: Multimedia tools and applications Vol. 82; no. 13; pp. 19829 - 19851
• Main Authors: Ghosh, Sampat Kumar, M, Rashmi, Mohan, Biju R, Guddeti, Ram Mohana Reddy
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.05.2023; Springer Nature B.V
• Subjects: Algorithms; Artificial intelligence; Artificial neural networks; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Datasets; Deep learning; Edge detection; Human activity recognition; Machine learning; Motion perception; Multimedia; Multimedia Information Systems; Neural networks; Special Purpose and Application-Based Systems; Surveillance systems; Deep learning; Human action recognition; Feature fusion; Convolutional neural networks; Score fusion

Human Action Recognition (HAR) is a fundamental challenge that smart surveillance systems must overcome. With the rising affordability of capturing human actions with more advanced depth cameras, HAR has garnered increased interest over the years, however the majority of these efforts have been on s...