Detection of early dangerous state in deep water of indoor swimming pool based on surveillance video
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-021-01953-y.pdf
Reference15 articles.
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3. Kharrat, M., Wakuda, Y., Koshizuka, N., Sakamura K.: Near drowning pattern detection using neural network and pressure information measured at swimmer’s head level. In: Proceedings of the Seventh ACM International Conference on Underwater Networks and Systems - WUWNet ’12, Los Angeles, California, p. 1, (2012) https://doi.org/10.1145/2398936.2398994
4. Hariharan, B., Das, R.N., Arjun, S.: WiEyeTNB: a wireless sensor based drowning detection system for enhanced parental care. Wirel. Internet 98, 511–520 (2012). https://doi.org/10.1007/978-3-642-30493-4_49
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