Video fire detection - Review

Cetin A. E., DIMITROPOULOS K., GOUVERNEUR B., GRAMMALIDIS N., Gunay O., Habiboglu Y. H., ...Daha Fazla

DIGITAL SIGNAL PROCESSING, cilt.23, sa.6, ss.1827-1843, 2013 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Derleme
  • Cilt numarası: 23 Sayı: 6
  • Basım Tarihi: 2013
  • Doi Numarası: 10.1016/j.dsp.2013.07.003
  • Dergi Adı: DIGITAL SIGNAL PROCESSING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1827-1843
  • Anahtar Kelimeler: Video based fire detection, Computer vision, Smoke detection, Wavelets, Covariance matrices, Decision fusion, REAL-TIME FIRE, WILDFIRE DETECTION, FLAME DETECTION, SMOKE DETECTION, IMAGE, MODEL, FUSION, VISION, COLOR, COMBUSTION
  • İstanbul Teknik Üniversitesi Adresli: Hayır

Özet

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. (c) 2013 Elsevier Inc. All rights reserved.