Intelligent forest fire monitoring system

This paper presents iForestFire, an Environmental Monitoring Information System for forest fire protection. The system is composed of several components, each having a particular function. Automatic fire detection is a crucial component of the system. It is based on various complex image processing algorithms. Complexity of the system also emerges from integration, based on multi agent technology, of different environment information. The presented system contributes to the environment protection and is in use in Croatia for several years.

[1]  Takeo Kanade,et al.  A System for Video Surveillance and Monitoring , 2000 .

[2]  Maja Štula,et al.  Agent Based Intelligent Forest Fire Monitoring System , 2009 .

[3]  Peter Meer,et al.  ROBUST TECHNIQUES FOR COMPUTER VISION , 2004 .

[4]  Maja Štula,et al.  Forest Fire Protection by Advanced Video Detection System - Croatian Experiences , 2006 .

[5]  Fabio Vitali,et al.  Web information systems , 1998, CACM.

[6]  Keinosuke Fukunaga,et al.  Statistical Pattern Recognition , 1993, Handbook of Pattern Recognition and Computer Vision.

[7]  Hélène Laurent,et al.  Review and evaluation of commonly-implemented background subtraction algorithms , 2008, 2008 19th International Conference on Pattern Recognition.

[8]  Darko Stipaničev,et al.  False Alarm Reduction in Forest fire Video Monitoring System , 2009 .

[9]  Kent Beck,et al.  Extreme Programming Explained: Embrace Change (2nd Edition) , 2004 .

[10]  Clemens A. Szyperski,et al.  Component software - beyond object-oriented programming , 2002 .

[11]  Andrew R. Webb,et al.  Statistical Pattern Recognition , 1999 .

[12]  L. Bodrozic,et al.  Agent based data collecting in a forest fire monitoring system , 2006, 2006 International Conference on Software in Telecommunications and Computer Networks.

[13]  Stephan R. Sain,et al.  Multi-dimensional Density Estimation , 2004 .

[14]  Carlos A. Iglesias,et al.  Disasters2.0: application of web 2.0 technologies in emergency situations , 2009 .

[15]  Darko Stipaničev,et al.  HISTOGRAM-BASED SMOKE SEGMENTATION IN FOREST FIRE DETECTION SYSTEM , 2009 .

[16]  C. H. Chen,et al.  Handbook of Pattern Recognition and Computer Vision , 1993 .

[17]  Massimo Piccardi,et al.  Background subtraction techniques: a review , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[18]  Charles L. Forgy,et al.  Rete: a fast algorithm for the many pattern/many object pattern match problem , 1991 .

[19]  L. Bodrozic,et al.  Integration of forest fire video monitoring system and Geographic Information System , 2009, 2009 International Symposium ELMAR.

[20]  Anil K. Jain Fundamentals of Digital Image Processing , 2018, Control of Color Imaging Systems.

[21]  Agostino Poggi,et al.  Developing Multi-agent Systems with JADE , 2007, ATAL.

[22]  Hee Yong Youn,et al.  Efficient category-based service discovery on multi-agent platform , 2012, Inf. Syst. Frontiers.