JIPS (Çѱ¹Á¤º¸Ã³¸®ÇÐȸ)
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
Algorithm for Detection of Fire Smoke in a Video Based on Wavelet Energy Slope Fitting |
¿µ¹®Á¦¸ñ(English Title) |
Algorithm for Detection of Fire Smoke in a Video Based on Wavelet Energy Slope Fitting |
ÀúÀÚ(Author) |
Yi Zhang
Haifeng Wang
Xin Fan
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¿ø¹®¼ö·Ïó(Citation) |
VOL 16 NO. 03 PP. 0557 ~ 0571 (2020. 06) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
The existing methods for detection of fire smoke in a video easily lead to misjudgment of cloud, fog and moving distractors, such as a moving person, a moving vehicle and other non-smoke moving objects. Therefore, an algorithm 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 40 continuous frames is set to fit the wavelet energy slope of the suspected area in every 20 frames, thus establishing a wavelet-energy-based smoke judgment criterion. The experimental data show that the algorithm described in this paper not only can detect smoke more quickly and more accurately, but also can effectively avoid the distraction of cloud, fog and moving object and prevent false alarm.
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Å°¿öµå(Keyword) |
Background Estimation Method
Least Square Method
Low-Frequency Wavelet Energy
Slope Fitting
Smoke Detection
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