Development of Drowning Detection Algorithm for USV
Author:
Kang Chew Min, Yeh Loh Chow, Jie Sam Yap Ren, Pei Tan Jing, Nugroho HermawanORCID
Publisher
Springer Singapore
Reference9 articles.
1. World Health Organization: Drowning. https://www.who.int/news-room/fact-sheets/detail/drowning. Accessed 12 Dec 2020 2. Hayat, M.A., Yang, G., Iqbal, A., Saleem, A., Mateen, M.: Comprehensive and comparative study of drowning person detection and rescue systems. In: 2019 8th International Conference on Information and Communication Technologies, ICICT 2019, pp. 66–71 (2019). https://doi.org/10.1109/ICICT47744.2019.9001918 3. Lu, W., Tan, Y.P.: A camera-based system for early detection of drowning incidents. In: IEEE International Conference on Image Processing (2002). https://doi.org/10.1109/icip.2002.1039001 4. Alshbatat, A.I.N., Alhameli, S., Almazrouei, S., Alhameli, S., Almarar, W.: Automated vision-based surveillance system to detect drowning incidents in swimming pools. In: 2020 Advanced Science, Engineering and Technology Conference, ASET 2020 (2020). https://doi.org/10.1109/ASET48392.2020.9118248 5. Roy, A., Srinivasan, K.: A novel drowning detection method for safety of Swimmers. In: 2018 20th National Power Systems Conference, NPSC 2018 (2018). https://doi.org/10.1109/NPSC.2018.8771844
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