1 June 2007 Fire detection in infrared video using wavelet analysis
Author Affiliations +
Optical Engineering, 46(6), 067204 (2007). doi:10.1117/1.2748752
Abstract
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.
B. Ugur Töreyin, R. Gokberk Cinbis, Yigithan Dedeoglu, A. Enis Cetin, "Fire detection in infrared video using wavelet analysis," Optical Engineering 46(6), 067204 (1 June 2007). http://dx.doi.org/10.1117/1.2748752
JOURNAL ARTICLE
9 PAGES


SHARE
KEYWORDS
Video

Flame detectors

Wavelets

Infrared imaging

Infrared detectors

Infrared radiation

Cameras

Back to Top