Video fire detection - Review

  • Authors:

  • A. Enis Çetin;Kosmas Dimitropoulos;Benedict Gouverneur;Nikos Grammalidis;Osman Günay;Y. Hakan Habiboglu;B. Ugur Töreyin;Steven Verstockt

  • Affiliations:

  • Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey;Information Technologies Institute, Centre of Research and Technology Hellas, 1st km Thermi-Panorama Rd, 57001 Thermi-Thessaloniki, Greece;Xenics Infrared Solution, Ambachtenlaan 44, Leuven, Belgium;Information Technologies Institute, Centre of Research and Technology Hellas, 1st km Thermi-Panorama Rd, 57001 Thermi-Thessaloniki, Greece;Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey;Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey;Department of Electronic and Communication Engineering, Cankaya University, Ankara, Turkey;Multimedia Lab, ELIS Department, Ghent University, iMinds, Gaston Crommenlaan 8, bus 201, Ledeberg-Ghent, Belgium

  • Venue:
  • Digital Signal Processing
  • Year:
  • 2013

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Abstract

This is a review article describing the recent developments in Video based Fire Detection (VFD). Video surveillance cameras and computer vision methods are widely used in many security applications. It is also possible to use security cameras and special purpose infrared surveillance cameras for fire detection. This requires intelligent video processing techniques for detection and analysis of uncontrolled fire behavior. VFD may help reduce the detection time compared to the currently available sensors in both indoors and outdoors because cameras can monitor ''volumes'' and do not have transport delay that the traditional ''point'' sensors suffer from. It is possible to cover an area of 100 km^2 using a single pan-tilt-zoom camera placed on a hilltop for wildfire detection. Another benefit of the VFD systems is that they can provide crucial information about the size and growth of the fire, direction of smoke propagation.