dc.creator | Martínez de Dios, José Ramiro | es |
dc.creator | Arrue Ullés, Begoña C. | es |
dc.creator | Ollero Baturone, Aníbal | es |
dc.creator | Merino, L. | es |
dc.creator | Gómez Rodríguez, Francisco de Asís | es |
dc.date.accessioned | 2020-02-12T11:36:03Z | |
dc.date.available | 2020-02-12T11:36:03Z | |
dc.date.issued | 2008 | |
dc.identifier.citation | 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. | |
dc.identifier.issn | 0262-8856 | es |
dc.identifier.uri | https://hdl.handle.net/11441/92964 | |
dc.description.abstract | 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. | es |
dc.description.sponsorship | European Commission EVG1-CT-2001-00043 | es |
dc.description.sponsorship | European Commission IST-2001-34304 | es |
dc.description.sponsorship | Ministerio de Educación y Ciencia DPI2005-02293 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Image and Vision Computing, 26 (4), 550-562. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Perception systems | es |
dc.subject | Infrared and visual image processing | es |
dc.subject | Forest fires | es |
dc.subject | Sensor fusion | es |
dc.title | Computer vision techniques for forest fire perception | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática | es |
dc.relation.projectID | EVG1-CT-2001-00043 | es |
dc.relation.projectID | IST-2001-34304 | es |
dc.relation.projectID | DPI2005-02293 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0262885607001096 | es |
dc.identifier.doi | 10.1016/j.imavis.2007.07.002 | es |
idus.format.extent | 13 | es |
dc.journaltitle | Image and Vision Computing | es |
dc.publication.volumen | 26 | es |
dc.publication.issue | 4 | es |
dc.publication.initialPage | 550 | es |
dc.publication.endPage | 562 | es |
dc.identifier.sisius | 6656668 | es |