Computer vision techniques for forest fire perception

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 percept...

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Bibliographic Details
Published inImage and vision computing Vol. 26; no. 4; pp. 550 - 562
Main Authors Martinez-de Dios, J.R., Arrue, B.C., Ollero, A., Merino, L., Gómez-Rodríguez, F.
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.04.2008
Subjects
Forest fires
Infrared and visual image processing
Perception systems
Sensor fusion
Sensor fusion
Perception systems
Infrared and visual image processing
Forest fires
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Summary: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.
ISSN:0262-8856
1872-8138
DOI:10.1016/j.imavis.2007.07.002