Extreme action recognition from real-time video using time-series deep learning model
The development of an extreme action recognition model to automate police surveillance can improve police deployment speed to crime scenes such as assault, robbery, kidnapping and other offences. However, the existing solution of extreme action recognition is insufficient to be deployed with high co...
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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2021
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| Online Access: | http://eprints.utar.edu.my/5384/1/1700099_Final_%2D_QING_HAO_GOH.pdf http://eprints.utar.edu.my/5384/ |
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