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Fluorescent Particle Image Tracking Procedure for Shallow Water Flow Tracing

[+] Author Affiliations
Flavia Tauro, Christopher Pagano, Maurizio Porfiri

Polytechnic Institute of New York University, Brooklyn, NY

Salvatore Grimaldi

Polytechnic Institute of New York University, Brooklyn, NYUniversity of Tuscia, Viterbo, Italy

Paper No. DSCC2012-MOVIC2012-8511, pp. 139-146; 8 pages
  • ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference
  • Volume 2: Legged Locomotion; Mechatronic Systems; Mechatronics; Mechatronics for Aquatic Environments; MEMS Control; Model Predictive Control; Modeling and Model-Based Control of Advanced IC Engines; Modeling and Simulation; Multi-Agent and Cooperative Systems; Musculoskeletal Dynamic Systems; Nano Systems; Nonlinear Systems; Nonlinear Systems and Control; Optimal Control; Pattern Recognition and Intelligent Systems; Power and Renewable Energy Systems; Powertrain Systems
  • Fort Lauderdale, Florida, USA, October 17–19, 2012
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-4530-1
  • Copyright © 2012 by ASME


In this paper, the feasibility of tracing shallow water flows in illuminated light conditions by using buoyant fluorescent particles is investigated. An automated image analysis-based procedure is developed for on-line detection and real-time tracking of particles using a computationally inexpensive algorithm implemented on recorded videos. The methodology is validated through experiments conducted in a custom-built miniature channel specifically developed for simulating controlled shallow water conditions. Experimental findings suggest that the proposed methodology could be successfully integrated in field flow tracing systems for overland flow velocity.

Copyright © 2012 by ASME



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