Real-Time Drowning Detection at the Edge
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-4577-1_18
Reference9 articles.
1. Drowning WHO. https://www.who.int/news-room/fact-sheets/detail/drowning
2. Roy A, Srinivasan K (2018) A novel drowning detection method for safety of swimmers. https://doi.org/10.1109/NPSC.2018.8771844
3. Lei F, Zhu H, Tang F, Wang X (2022) Drowning behavior detection in swimming pool based on deep learning. https://doi.org/10.1007/s11760-021-02124-9
4. Yu J. A deep learning-based drowning detection method for dynamic swimming pool environments using spatiotemporal neighborhood analysis. https://abstracts.societyforscience.org/Home/PrintPdf/17792
5. Fei L, Xueli W, Dongsheng C (2009) Drowning detection based on background subtraction. https://doi.org/10.1109/ICESS.2009.35
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1. Research on Dataset Generation and Monitoring of Generative AI for Drowning Warning System;IEEE Access;2024
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