Forest smoke and fire detection method based on video image analysis

Abstract

The invention provides a forest smoke and fire detection algorithm based on video image analysis which comprises eight steps to detect the smoke and haze in a video: preprocessing the video images; performing background modeling; carrying out morphological treatment; segmenting the motions, tracking the regions, determining the regions continuously; extracting the characteristics and determining the smoke and haze. According to the method of the invention, targeted to the characteristics of the forest smoke and haze video images, the method makes improvement in the background modeling technology in currently available video image analysis method by using the random clustering to acquire the initial model from the neighboring domain of the pixel points and then, through some samples in the neighboring domain of the pixel points, the background points are updated. This overcomes the problem of misjudgment caused by the excessive concentration of the selected samples and further accelerates the efficiency for smoke and haze detection. Requiring a small amount of computation, the method can be used to directly determine the smoke and haze from the video acquisition end so as to increase the computation efficiency while ensuring the detection accuracy. Therefore, the detection cost can be reduced; better timeliness can be achieved; and therefore, the method can find wider applications.

Description

technical field [0001] The invention relates to the fields of image processing and forest fire detection, in particular to a forest fire detection method based on video image analysis. Background technique [0002] Fire is the most dangerous enemy of the forest and the most terrible forestry disaster. It will cause serious harm to the ecological environment and biological activities in the forest area, and seriously threaten people's property and life safety. Losses are minimized. As the product of the early stage of open fire, smoke plays an important role in fire warning. [0003] At present, the widely used smoke detection system uses sensors such as heat-sensitive elements, smoke-sensitive elements, and infrared light-sensitive elements to detect smoke. However, in forest areas, there are dense trees, vast areas, and complex terrain. It is difficult to install and maintain the sensors, and the detection reliability is not guaranteed. . [0004] The forest fire smoke d...

AI Technical Summary

Problems solved by technology

[0007] Technical problem: The present invention is aimed at the technical problem that the existing smoke recognition method based on video image analysis cannot reduce the calculation while ensuring high accuracy

Images