Abstract
Fire detection is a very important problem today due to the economical, ecological and naturalistic value of forests for our world. In this paper it is presented a system that detects fire and operates in real-time by using some TV cameras, suitably placed in the external environment.
The detection is obtained through a completely new approach based on the dynamic evolution of fire smokes classified by means of Artificial Intelligence techniques.
Preview
Unable to display preview. Download preview PDF.
References
J.R. Stearns et alii, "Airborne infrared observation and analysis of a large forest fire", Applied Optics, vol.25 n.15, August 1986.
H.J. Shaw, "Development of a Canadian infrared forest fire mapping Operational Program", Fifth. Int.Symp. on Remote Sensing of Environment, MI, May 1981.
G. Carraro Moda, "Gli incendi boschivi", Edizione DEI, Roma 1987.
K.W. Pratt, "Digital Image Processing", Wiley&Sons, New York 1978.
V Cappellini, "Elaborazione numerica delle immagini", Boringhieri, Torino 1985.
R. Jain, "Difference and accumulative difference pictures in dynamic scene analysis", Imagine and Computer Vision, vol.2 n.2, May 1984.
A. Mecocci, "Moving Object Detection and Classification in Real World Scenes", Proc. Int. Work. on Time-Varying Image Processing and Moving Object Recognition, Florence, Sept. 1986.
L. Mattii, "Riconoscimento automatico degli incendi boschivi", Tesi di laurea, Firenze 1988.
E. Rich, "Intelligenza artificiale", Mc Graw-Hill, Milano 1986.
E. Mendelson, "Introduzione alla logica matematica", Boringhieri, Torino 1972.
N.J. Nilsson, "Principles of Artificial Intelligence", Tioga, Palo Alto, California 1980.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1989 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Cappellini, V., Mattii, L., Mecocci, A. (1989). An intelligent system for automatic fire detection in forests. In: Cantoni, V., Creutzburg, R., Levialdi, S., Wolf, G. (eds) Recent Issues in Pattern Analysis and Recognition. Lecture Notes in Computer Science, vol 399. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-51815-0_67
Download citation
DOI: https://doi.org/10.1007/3-540-51815-0_67
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-51815-0
Online ISBN: 978-3-540-46815-8
eBook Packages: Springer Book Archive