Video based human activities recognition using deep learning

• Main Authors: Roubleh, A. A., Khalifa, Othman Omran
• Format: Conference or Workshop Item
• Language: English; English; English
• Published: AIP Publishing 2020
• Subjects: T Technology (General)
• Online Access: http://irep.iium.edu.my/82391/18/82391_Video%20Based%20Human%20Activities%20Recognition%20using%20Deep_new.pdf; http://irep.iium.edu.my/82391/7/Notification%20of%20Acceptance%20ICEDSA%202020%20%20%2327%20%20%20Video%20Based%20Human%20Activities%20Recognition%20Using%20Deep%20learning.pdf; http://irep.iium.edu.my/82391/13/Certificate%20%20ICEDSA%202020%20%20%2327%20%20%20Video%20Based%20Human%20Activities%20Recognition%20Using%20Deep%20learning.pdf; http://irep.iium.edu.my/82391/; https://aip.scitation.org/doi/10.1063/5.0032379

Human activities recognition from motion capture data is a challenging problem in the computer vision due to the fact that, in various human activities, different body components have distinctive characteristics in terms of the moving pattern. In this paper, a learning method of detecting an activi...