Detection method of flame

Abstract

The invention discloses a detection method of flame. Since the flame has the characteristics of certain continuousness, and the like at a position, the detection method can be used for acquiring images. Pixel points having the flame color characteristics in the images can be detected by using color information. The flame area can be detected by using a time domain filter detection motion area andthe like. The detection method can be used for fire monitoring at long distance in a wide range.

Description

technical field [0001] The invention relates to a flame detection method. Background technique [0002] Among various disasters, fire is one of the main natural disasters that most frequently and commonly threaten public safety and social development. Timely and accurate fire detection and alarm can effectively reduce or eliminate this threat. Traditional fire detection is generally based on sensors (such as infrared sensors, ultraviolet sensors, etc.). However, these sensors are susceptible to various disturbances, gradually deteriorating in sensitivity and decreasing in reliability. At the same time, the monitoring range of a single sensor is very limited, and it has relatively large limitations for long-distance monitoring of large scenes. However, the video monitoring device can overcome the above disadvantages, and the cost is low. With the rapid development of digital image technology and video processing technology, the fire detection technology based on computer ...

AI Technical Summary

Problems solved by technology

[0003] Through the literature search of the latest existing technologies, it is found: "A Early Fire-Detection Method Based on Image Processing [C]. Proceedings of the 2004 International Conference on Image Processing. IEEE Press, Singapore, 2004: 1701-1710) proposed to use the original R, G, B color information to classify the flame pixels, and combined with the motion information for flame detection, and achieved good results, but if there are flame-like motions in the scene object, it will cause misjudgment

[0004] In Proceedings of the 2006 IEEE International Conference on Acoustics, Speech and Signal Processing (A.E.Real-timeFile and Flame Detection in Video[C].In Proc.Of IEEE ICASSP 05, 2005, 669-672), the background difference was first used to remove The motion area in the video, and then conduct wavelet analysis on the motion area in the time domain and space domain, and use wavelet coefficients to analyze whether there is flame in the video. Since this method uses the background difference method, it is necessary to train the background model. When the scene changes, Algorithms may fail

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