Hand-crafted and deep convolutional neural network features fusion and selection strategy: An application to intelligent human action recognition

• Published in: Applied soft computing Vol. 87; p. 105986
• Main Authors: Khan, Muhammad Attique, Sharif, Muhammad, Akram, Tallha, Raza, Mudassar, Saba, Tanzila, Rehman, Amjad
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.02.2020
• Subjects: Deep CNN features; Feature selection; Features fusion; HAR; Recognition; Shape features; Silhouette extraction; Feature selection; Deep CNN features; Features fusion; HAR; Shape features; Silhouette extraction; Recognition

Human action recognition (HAR) has gained much attention in the last few years due to its enormous applications including human activity monitoring, robotics, visual surveillance, to name but a few. Most of the previously proposed HAR systems have focused on using hand-crafted images features. Howev...