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...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English English English |
| Published: |
AIP Publishing
2020
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| Subjects: | |
| 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 |
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