Algorithm for Detection of Fire Smoke in a Video Based on Wavelet Energy Slope Fitting
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초록
The existing methods for detection of fire smoke in a video easily lead to misjudgment of cloud, fog and movingdistractors, such as a moving person, a moving vehicle and other non-smoke moving objects. Therefore, analgorithm for detection of fire smoke in a video based on wavelet energy slope fitting is proposed in this paper. The change in wavelet energy of the moving target foreground is used as the basis, and a time window of 40continuous frames is set to fit the wavelet energy slope of the suspected area in every 20 frames, thusestablishing a wavelet-energy-based smoke judgment criterion. The experimental data show that the algorithmdescribed in this paper not only can detect smoke more quickly and more accurately, but also can effectivelyavoid the distraction of cloud, fog and moving object and prevent false alarm.
Abstract
The existing methods for detection of fire smoke in a video easily lead to misjudgment of cloud, fog and movingdistractors, such as a moving person, a moving vehicle and other non-smoke moving objects. Therefore, analgorithm for detection of fire smoke in a video based on wavelet energy slope fitting is proposed in this paper. The change in wavelet energy of the moving target foreground is used as the basis, and a time window of 40continuous frames is set to fit the wavelet energy slope of the suspected area in every 20 frames, thusestablishing a wavelet-energy-based smoke judgment criterion. The experimental data show that the algorithmdescribed in this paper not only can detect smoke more quickly and more accurately, but also can effectivelyavoid the distraction of cloud, fog and moving object and prevent false alarm.
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