FIRE DETECTION USING AUTONOMOUS AERIAL VEHICLES WITH INFRARED AND VISUAL CAMERAS.

Abstract The paper presents a system for automatic fire detection based on the use of autonomous aerial vehicles. Particularly, the application of a helicopter with infrared and visual cameras is described. The paper presents the techniques used for fire segmentation in visual and infrared cameras, and the procedures to fuse the data obtained from both of them. Furthermore the paper presents the techniques for automatic geolocation of the detected fire alarms. Experimental results are shown.

[1]  Brian A. Baertlein,et al.  Feature-Level and Decision-Level Fusion of Noncoincidently Sampled Sensors for Land Mine Detection , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  J.R. Martinez-De Dios,et al.  A new training-based approach for robust thresholding , 2004, Proceedings World Automation Congress, 2004..

[3]  Klamer Schutte,et al.  Autonomous Forest Fire Detection , 1998 .

[4]  O. Faugeras,et al.  The Geometry of Multiple Images , 1999 .

[5]  Yaron Caspi,et al.  Alignment of non-overlapping sequences , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[6]  Aníbal Ollero,et al.  An Intelligent System for False Alarm Reduction in Infrared Forest-Fire Detection , 2000, IEEE Intell. Syst..

[7]  T. W. Ridler,et al.  Picture thresholding using an iterative selection method. , 1978 .

[8]  Jyh-Shing Roger Jang,et al.  ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..