Deep learning semantic segmentation for water level estimation using surveillance camera
The interest in visual-based surveillance systems, especially in natural disaster applications, such as flood detection and monitoring, has increased due to the blooming of surveillance technology. In this work, semantic segmentation based on convolutional neural networks (CNN) was proposed to ident...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Multidisciplinary Digital Publishing Institute
2021
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| Online Access: | http://psasir.upm.edu.my/id/eprint/96604/1/ABSTRACT.pdf http://psasir.upm.edu.my/id/eprint/96604/ https://www.mdpi.com/2076-3417/11/20/9691 |
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| Institution: | Universiti Putra Malaysia |
| Language: | English |