Flame detection method based on video image

Abstract

The invention relates to a flame detection method based on a video image and solves the defects of the existing fire monitoring method. The method comprises the following steps that: the video image is acquired first, color detection is conducted to the video image according to the spatial domain features of a flame, a flame color region in the video image is extracted, and motion detection is conducted to the acquired video image according to the spatial domain features of the flame to realize the extraction of a motion region in the video image; pixel-by-pixel AND operation is conducted to the obtained flame color region and the video motion region, and spread rate analysis is conducted to exclude the interference of flame analogues and to obtain a final flame pixel region; and shake analysis is conducted to the final flame pixel region and finally the alarm confirmation of the flame is conducted. From the spatial domain and the time domain, in combination with the flame color detection method and the motion detection method to obtain a suspect fire region, the method realizes the accurate detection and extraction and the automatic tracking and alarm of the flame, and provides strong method supports for the intelligentization of fire monitoring devices.

Description

Technical field [0001] The invention belongs to the technical field of intelligent monitoring, and specifically relates to an intelligent flame detection method based on video images. Background technique [0002] With the development of social productivity, social wealth is increasing day by day, and the scope of fire losses and fire hazards is expanding. Fires not only cause huge losses to human economic construction and damage the ecological environment, but also threaten the safety of people's lives and property, and affect the stable development of society. At present, forest fire monitoring in my country mainly includes ground patrol, observation deck monitoring, cruise aircraft and meteorological satellite remote sensing monitoring. These fire monitoring methods have their own shortcomings: on the one hand, due to the complex terrain and vast area of ​​the forest area, it is unrealistic and unreliable to rely solely on patrol personnel to monitor the fire. The lookout of ...

AI Technical Summary

Problems solved by technology

These fire monitoring methods have their own shortcomings: on the one hand, due to the complex terrain and vast area of ​​the forest area, it is unrealistic and unreliable to rely solely on patrol personnel to monitor the fire situation. Due to the limitation of facilities, relying on aircraft patrol observation is not only costly but also inefficient; on the other hand, due to the complex terrain conditions in most forest areas in my country, lack of power supply and corresponding communication facilities, etc. Moreover, the above fire monitoring methods are not suitable for the scattered characteristics of small and medium-sized forest areas in my country, and their practicability and scalability are limited.

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