Human action recognition using fusion of multiview and deep features: an application to video surveillance

• Published in: Multimedia tools and applications Vol. 83; no. 5; pp. 14885 - 14911
• Main Authors: Khan, Muhammad Attique, Javed, Kashif, Khan, Sajid Ali, Saba, Tanzila, Habib, Usman, Khan, Junaid Ali, Abbasi, Aaqif Afzaal
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.02.2024; Springer Nature B.V
• Subjects: Artificial intelligence; Artificial neural networks; Computer Communication Networks; Computer Science; Correlation coefficients; Data Structures and Information Theory; Human activity recognition; Multimedia Information Systems; Parameters; Special Purpose and Application-Based Systems; Surveillance; Human action recognition; Deep features; Multiview features; Features fusion; Recognition

Human Action Recognition (HAR) has become one of the most active research area in the domain of artificial intelligence, due to various applications such as video surveillance. The wide range of variations among human actions in daily life makes the recognition process more difficult. In this articl...