Human activity recognition for video surveillance using neural network /
Human activity recognition considered as one of the most effective technique in video surveillance due to it is the promising application in computer vision and signaling such as home care system, sign language, computer interaction and human machine. The main goal of video surveillance is to discov...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
Kuala Lumpur :
Kulliyyah of Engineering, International Islamic University Malaysia,
2017
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| Subjects: | |
| Online Access: | http://studentrepo.iium.edu.my/handle/123456789/4858 |
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