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espiownage: Tracking Transients in Steelpan Drum Strikes Using Surveillance Technology

Guardado en:
Publicado en:arXiv.org (Oct 23, 2021), p. n/a
Autor principal: Hawley, Scott H
Otros Autores: Morrison, Andrew C, Morgan, Grant S
Publicado:
Cornell University Library, arXiv.org
Materias:
Computer vision
Object recognition
Speckle patterns
Interference fringes
Cleaning
Image segmentation
Iterative methods
Feedback loops
Workflow
Electronic speckle pattern interferometry
Acceso en línea:Citation/Abstract
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Resumen:We present an improvement in the ability to meaningfully track features in high speed videos of Caribbean steelpan drums illuminated by Electronic Speckle Pattern Interferometry (ESPI). This is achieved through the use of up-to-date computer vision libraries for object detection and image segmentation as well as a significant effort toward cleaning the dataset previously used to train systems for this application. Besides improvements on previous metric scores by 10% or more, noteworthy in this project are the introduction of a segmentation-regression map for the entire drum surface yielding interference fringe counts comparable to those obtained via object detection, as well as the accelerated workflow for coordinating the data-cleaning-and-model-training feedback loop for rapid iteration allowing this project to be conducted on a timescale of only 18 days.
ISSN:2331-8422
DOI:10.1121/10.0009532
Fuente:Engineering Database