Active infrared video based fire smoke detection method in zero-illumination environment

Abstract

The invention discloses an active infrared video based fire smoke detection method in zero-illumination environment. The method comprises the steps of: acquiring active infrared video image data; extracting foreground images from the infrared video image data by a difference method and carrying out intensity value analysis; extracting and analyzing the speed characteristics of clustering centers in the foreground images; calculating an average value and a variance of the speed characteristics of the clustering centers, and comparing a preset threshold value with the calculated variance of thespeed characteristics of the clustering centers to judge whether fire-disaster smoke exists in the monitored and limited zero-illumination space or not; if so, giving alarming signals; and if not, returning to the former step to acquire infrared video image data of next frame continuously. In the method, the influence of the background noise of infrared video images is reduced and the active infrared video smoke detection is realized in the zero-illumination environment.

Description

technical field [0001] The invention belongs to the technical field of fire detection, and in particular relates to computer image processing and active infrared video fire detection in a zero-illuminance environment, in particular to a method for identifying fire smoke in a zero-illuminance environment based on active infrared video. Background technique [0002] Visual fire detection technology is a new fire detection technology based on machine vision and image processing. It can effectively integrate image features such as flames and smoke to provide intuitive fire information. Visual fire detection technology has the characteristics of fast response, wide monitoring range, and long distance, which makes fire detection technology meet people's requirements for fire safety to a greater extent. Among them, smoke image recognition detection technology can detect fires earlier and realize early detection. fire detection. [0003] B.U.Toreyin et al. used wavelet transform to...

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Problems solved by technology

[0005] At present, under the dark condition of zero illumination in the monitoring environment, there is no detection technology that uses active infrared cameras for infrared video collection and is equipped with corresponding fire video smoke recognition algorithms, and some typical smoke features, such as those mentioned above The color features, fuzzy features, contour features and texture features of the infrared video smoke recognition have defects due to the particularity of the infrared video background and image.

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