Fire detection in infrared video using wavelet analysis

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. © 2007 Society of Photo-Optical Instrumentation Engineers

Multi-sensor Fire Detection by Fusing Visual and Non-visual Flame Features

“…by temporal median filtering, it is expected that this number of false alarms can even be further reduced. However, to confirm all these findings a more thorough evaluation and comparison with other work [2][3][4] is needed. This will be part of our future work.…”

“…In addition, the temporal behavior of the region is analyzed using a Hidden Markov Model. The combination of both temporal and spatial clues seems more appropriate than the luminosity approach and, according to the authors [3], greatly reduces false alarms. A similar combination of temporal and spatial features is used by Bosch et al [4].…”

“…Although this fairly simple algorithm seems to produce good results, its limited constraints do raise questions about its applicability in large and open places with varying backgrounds and a lot of ordinary moving objects. Toreyin et al [3] detect flames in infrared by searching for bright-looking moving objects with rapid time-varying contours. A wavelet domain analysis of the 1D-curve representation of the contours is used to detect the high frequency nature of the boundary of a fire region.…”

Video fire detection – Review

“…When there is no or very little visible light or the color of the object to be detected is similar to the background, IR imaging systems provide solutions [62,63,64,65,66,67,68]. Although there is an increasing trend in IR-camera based intelligent video analysis, the number of papers in the area of IR-based fire detection is few [64,65,66,67,68].…”

Volatile organic compound plume detection using wavelet analysis of video

“…The method processes sequence of image frames captured by a visible-range camera. Although it is explicitly devised for visible-range cameras, techniques similar to the ones described in this paper can also be applied for image sequences captured by IR camera, as in [5].…”