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Flame detection method adaptive to large outdoor space

A flame detection and large-space technology, applied in instruments, character and pattern recognition, computer components, etc., can solve the problem of high false alarm rate, inability to adapt to weather and sunlight gradients or mutations in real time, and high error rate of taillights in tunnels. Report rate and other issues to achieve the effect of improving accuracy

Active Publication Date: 2013-12-11
沈阳聚德视频技术有限公司
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Problems solved by technology

[0003] In summary, the existing video-based flame detection methods are mostly based on a fixed background, and cannot adapt to the gradual or sudden changes in weather and sunlight in real time, so there is a high false alarm rate; the existing video-based flame detection methods method has a high false positive rate for flickering taillights in tunnels

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  • Flame detection method adaptive to large outdoor space
  • Flame detection method adaptive to large outdoor space
  • Flame detection method adaptive to large outdoor space

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[0042] The present invention will be further elaborated below in conjunction with the accompanying drawings of the description.

[0043] Such as figure 1 Shown, the present invention is a kind of flame detection method that adapts to outdoor large space, is characterized in that comprising the following steps:

[0044] (1) Initialize the background frame: input the video frame image, convert it into a grayscale image, and use its mean image as the temporary background frame;

[0045] (2) Update the background frame: make the difference between the current frame and the temporary background frame, and then obtain the masked binary image through mask processing;

[0046] (3) Obtain the suspected flame target: Binarize the current frame to obtain the brightness target, then perform difference with the background frame mask binary image and perform binarization to obtain the object target, and obtain the target by intersection of the brightness target and the object target. Valu...

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Abstract

The invention relates to a flame detection method adaptive to large outdoor space. The method comprises the following steps: converting a video frame image to a grayscale image, and taking the mean image of previous N frames (N is greater than 50) as a temporary background frame; making difference between the current frame and the temporary background frame, and then carrying out mask treatment to obtain a mask binary image; carrying out binarization on the current frame to obtain a brightness target, making difference between the current frame and the background frame and carrying out binarization on an Otsu self-adaptive threshold value to obtain an object target, and getting intersection of the brightness target and the object target as a target binary image, wherein the communicated areas in the target binary image are the suspected flame target; marking the communicated areas and storing information of the communicated areas; establishing a target chain table for each communicated area, and chaining the target chain table; calculating information of a traced moving target and determining whether the target is flame or not according to flame alarm probability. The method provided by the invention is adaptive to changes of climate and illumination, can be adaptive to indoor and outdoor flame detection, and can immediately and accurately alarm an incipient fire.

Description

technical field [0001] The invention relates to a video image-based intelligent flame monitoring technology, in particular to a flame detection method suitable for large outdoor spaces. Background technique [0002] Since the image processing technology continuously injects fresh blood into the computer field, the video fire monitoring technology gradually attracts people's attention. However, due to the complexity and changing characteristics of the environment in real fire scenes, it becomes very difficult to identify fires. At present, various fire recognition methods based on video image processing are only effective in a specific environment (ideal experimental environment), and when the environment changes, the detection error will become very large. The patent application with the application number: 201210295531.9 discloses a flame detection method based on video frames, including: 1) acquiring video frame images, 2) acquiring binary foreground according to the brig...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 张宾董铁军付存伟于维双
Owner 沈阳聚德视频技术有限公司
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