Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/43190
Title: PTV-Stream: A simplified particle tracking velocimetry framework for stream surface flow monitoring
Authors: Tauro, Flavia 
Piscopia, Rodolfo
Grimaldi, Salvatore 
Journal: CATENA 
Issue Date: 2019
Abstract: 
© 2018 The Authors Particle tracking velocimetry (PTV) is a promising image-based approach for remote streamflow measurements in natural environments. However, most PTV approaches require highly-defined round-shaped tracers, which are often difficult to observe outdoors. PTV-Stream offers a versatile alternative to cross-correlation-based PTV by affording the identification and tracking of features of any shape transiting in the field of view. This nearest-neighbor algorithm is inherently thought for estimating surface flow velocity of streams in outdoor conditions. The procedure allows for reconstructing and filtering the trajectories of features that are more likely to pertain to actual objects transiting in the field of view rather than to water reflections. The procedure is computationally efficient and is demonstrated to yield accurate measurements even in case of downsampled image sequences.
URI: http://hdl.handle.net/2067/43190
ISSN: 0341-8162
DOI: 10.1016/j.catena.2018.09.009
Rights: CC0 1.0 Universal
Appears in Collections:A1. Articolo in rivista

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