Deep learning semantic segmentation for water level estimation using surveillance camera

• Main Authors: Muhadi, Nur 'Atirah, Abdullah, Ahmad Fikri, Bejo, Siti Khairunniza, Mahadi @ Othman, Muhammad Razif, Mijic, Ana
• Format: Article
• Language: English
• Published: Multidisciplinary Digital Publishing Institute 2021
• 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
• Institution: Universiti Putra Malaysia

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...