Fire detection in infrared video using wavelet analysis

Creative Commons License

TÖREYİN B. U., CİNBİŞ R. G., Dedeoğlu Y., Çetin E.

Optical Engineering, vol.46, no.6, 2007 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 46 Issue: 6
  • Publication Date: 2007
  • Doi Number: 10.1117/1.2748752
  • Journal Name: Optical Engineering
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Keywords: Hidden Markov models, Infrared video fire detection, Segmentation, Video event detection, Video object contour analysis, Wavelet transform
  • Middle East Technical University Affiliated: No


A novel method to detect flames in infrared (IR) video is proposed. Image regions containing flames appear as bright regions in IR video. In addition to ordinary motion and brightness clues, the flame flicker process is also detected by using a hidden Markov model (HMM) describing the temporal behavior. IR image frames are also analyzed spatially. Boundaries of flames are represented in wavelet domain and the high frequency nature of the boundaries of fire regions is also used as a clue to model the flame flicker. All of the temporal and spatial clues extracted from the IR video are combined to reach a final decision. False alarms due to ordinary bright moving objects are greatly reduced because of the HMM-based flicker modeling and wavelet domain boundary modeling. © 2007 Society of Photo-Optical Instrumentation Engineers.