Video-Sensing Characterization for Hydrodynamic Features: Particle Tracking-Based Algorithm Supported by a Machine Learning Approach

Video-Sensing Characterization for Hydrodynamic Features: Particle Tracking-Based Algorithm Supported by a Machine Learning Approach

The efficient and reliable monitoring of the flow of water in open channels provides useful information for preventing water slow-downs due to the deposition of materials within the bed of the channel, which might lead to critical floods. A reliable monitoring system can thus help to protect propert...

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Bibliographic Details
Main Authors: Aimé Lay-Ekuakille, John Djungha Okitadiowo, Moïse Avoci Ugwiri, Sabino Maggi, Rita Masciale, Giuseppe Passarella
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
sensors
sensing systems
hydrodynamic monitoring
flow measurement and classification
machine learning
particle tracking
Online Access:https://www.mdpi.com/1424-8220/21/12/4197

Internet

https://www.mdpi.com/1424-8220/21/12/4197

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