Flame detection method based on video frame image

Abstract

The invention provides a flame detection method based on a video frame image, which is characterized by comprising the following steps of: S10) obtaining a video frame image; S20) according to a flame luminance threshold, obtaining binary foreground images, and obtaining an interested target chain by a plurality of binary foreground images; S30) according to the target characteristic of a target block in a target chain, calculating flame frequency, and judging whether flame exists in the video frame image in the target chain according to the flame frequency and the confidence coefficient, wherein the target characteristic comprises the average luminance variation, the area variation and the center position shake of the target block; S40) if the flame exists in the video frame image in the target chain, generating an alarm triggering signal; and otherwise, returning to step S10). According to the flame detection method based on the video frame image, which is disclosed by the invention, the flame can be accurately detected, so that the flame false alarm rate is greatly lowered so as to lighten the pressure of working personnel, and the working efficiency of the working personnel is improved.

Description

technical field [0001] The invention relates to fire detection, in particular to a flame detection method based on video frame images. Background technique [0002] With the continuous development of the economy, people's awareness of fire prevention has gradually increased. In order to reduce losses caused by fires, many warehouses have established monitoring systems. Most of the existing monitoring systems require human participation, that is, the monitoring staff need to monitor the videos taken by the front-end cameras all the time, and take actions according to the shooting results. Although this manual monitoring method can play a protective role to a certain extent, its disadvantages are that it wastes human resources, is not conducive to comprehensive management, and is directly affected by human factors. For this reason, it is necessary to provide a method for automatically identifying fireworks. [0003] For example, the application number published on August 26...

AI Technical Summary

Problems solved by technology

[0004] The invention provides a flame detection method based on a video frame image, and the main technical problem to be solved is that the color-based flame detection method based on a video frame image in the prior art will lose color in the viewfinder image at night and when the door is closed Fireworks cannot be accurately detected due to information, or the outline detection algorithm cannot accurately detect the outline of each target in the image in real time, resulting in a large error in the flame detection results.

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