Video based human activities recognition using deep learning
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...
| Main Authors: | Roubleh, A. A., Khalifa, Othman Omran |
|---|---|
| Format: | Proceeding Paper |
| Language: | English English English |
| Published: |
AIP Publishing
2020
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/82391/ 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 |
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