JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
Algorithm for Detection of Fire Smoke in a Video Based on Wavelet Energy Slope Fitting |
| 영문제목(English Title) |
Algorithm for Detection of Fire Smoke in a Video Based on Wavelet Energy Slope Fitting |
| 저자(Author) |
Yi Zhang
Haifeng Wang
Xin Fan
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| 원문수록처(Citation) |
VOL 16 NO. 03 PP. 0557 ~ 0571 (2020. 06) |
한글내용
(Korean Abstract) |
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영문내용
(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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| 키워드(Keyword) |
Background Estimation Method
Least Square Method
Low-Frequency Wavelet Energy
Slope Fitting
Smoke Detection
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| 파일첨부 |
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