Image processing for safety assessment in Civil Engineering

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/28556
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Title: Image processing for safety assessment in Civil Engineering
Authors: Ferrer, Belén | Pomares Torres, Juan Carlos | Irles Más, Ramón | Espinosa, Julián | Mas, David
Research Group/s: Óptica y Ciencias de la Visión | Grupo de Ensayo, Simulación y Modelización de Estructuras (GRESMES)
Center, Department or Service: Universidad de Alicante. Departamento de Óptica, Farmacología y Anatomía | Universidad de Alicante. Departamento de Ingeniería Civil | Universidad de Alicante. Instituto Universitario de Física Aplicada a las Ciencias y las Tecnologías
Keywords: Pattern recognition | Target tracking | Nondestructive testing
Knowledge Area: Óptica | Mecánica de Medios Continuos y Teoría de Estructuras
Issue Date: May-2013
Publisher: Optical Society of America
Citation: FERRER, Belén, et al. “Image processing for safety assessment in Civil Engineering”. To be published in Applied Optics, May 2013. ISSN 1559-128X
Abstract: Behaviour analysis of construction safety systems is of fundamental importance to avoid accidental injuries. Traditionally, measurements of dynamic actions in Civil Engineering have been done through accelerometers, but high-speed cameras and image processing techniques can play an important role in this area. Here, we propose using morphological image filtering and Hough transform on high-speed video sequence as tools for dynamic measurements on that field. The presented method is applied to obtain the trajectory and acceleration of a cylindrical ballast falling from a building and trapped by a thread net. Results show that safety recommendations given in construction codes can be potentially dangerous for workers.
Sponsor: The authors acknowledge the support of the Spanish Ministerio de Economía y Competitividad through the project BIA2011-22704 and the University of Alicante through the project GRE10-09. D. M. also acknowledges the support of the Generalitat Valenciana through the project PROMETEO/2011/021.
URI: http://hdl.handle.net/10045/28556
ISSN: 1559-128X (Print) | 2155-3165 (Online)
Language: eng
Type: info:eu-repo/semantics/article
Peer Review: si
Appears in Collections:INV - GRESMES - Artículos de Revistas
INV - IMAOS+V - Artículos de Revistas

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