Artículo
Computer vision techniques for forest fire perception
Autor/es | Martínez de Dios, José Ramiro
Arrue Ullés, Begoña C. Ollero Baturone, Aníbal Merino, L. Gómez Rodríguez, Francisco de Asís |
Departamento | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática |
Fecha de publicación | 2008 |
Fecha de depósito | 2020-02-12 |
Publicado en |
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Resumen | This paper presents computer vision techniques for forest fire perception involving measurement of forest fire properties (fire front, flame height, flame inclination angle, fire base width) required for the implementation ... This paper presents computer vision techniques for forest fire perception involving measurement of forest fire properties (fire front, flame height, flame inclination angle, fire base width) required for the implementation of advanced forest fire-fighting strategies. The system computes a 3D perception model of the fire and could also be used for visualizing the fire evolution in remote computer systems. The presented system integrates the processing of images from visual and infrared cameras. It applies sensor fusion techniques involving also telemetry sensors, and GPS. The paper also includes some results of forest fire experiments. |
Identificador del proyecto | EVG1-CT-2001-00043
IST-2001-34304 DPI2005-02293 |
Cita | Martínez de Dios, J.R., Arrue Ullés, B.C., Ollero Baturone, ., Merino, L. y Gómez Rodríguez, F.d.A. (2008). Computer vision techniques for forest fire perception. Image and Vision Computing, 26 (4), 550-562. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Computer vision techniques.pdf | 2.492Mb | [PDF] | Ver/ | |