Flame detection method based on video time and spatial information

A space information and flame detection technology, which is applied in fire alarms, character and pattern recognition, image data processing, etc., can solve the problems of detection rate drop and influence, achieve low missed detection rate and false detection rate, and be robust sexual effect

Active Publication Date: 2010-10-06
四川电子科技大学教育发展基金会
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AI Technical Summary

Problems solved by technology

Although the existing technology has a good detection effect in some simple indoor scenes, its detection rate will drop significantly in occasions with complex

Method used

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  • Flame detection method based on video time and spatial information
  • Flame detection method based on video time and spatial information
  • Flame detection method based on video time and spatial information

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Embodiment Construction

[0037] In the aforementioned technical scheme, it should be further explained that:

[0038] 1. Step 2 From the source image sequence I N Separate the foreground moving image sequence F from N , the background estimation method can be used. Specifically include the following steps:

[0039] Step 2-1: Determine the source image sequence I N The current frame source image in I n All the pixel points are moving points or static points.

[0040] The specific judgment method is: set point (k, l) to represent the source image sequence I N Any pixel in the current frame source image I n The pixel value of this pixel point is I n (k, l), in the previous frame source image I n-1 The pixel value of this pixel point is I n-1 (k, l), if , then the current frame source image I n The middle pixel (k, l) is a motion point; otherwise, the current frame source image I n The middle pixel point (k, l) is a static point; where: 2≤n≤N, 1≤k≤K, 1≤l≤L, |·| means to take the absolute valu...

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Abstract

The invention relates to a flame detection method based on video time and spatial information, which belongs to the technical field of image information processing. First, a prospect motion image is separated from a source image, and then pixels with flame color characteristics are found out from the prospect motion image to form a suspected flame area; then observation points are arranged in the pixels on the edge of the suspected flame area with the flashing characteristics of the pixels on the edge of a real flame area, a hidden markov model is built, and time and space pattern characteristics are extracted to form an observation characteristic value sequence; the observation characteristic value sequence is input into a hidden markov mode decision device which is trained in advance to obtain the decision result whether the observation points are real flame pixels; and when the observation points which account quite a big part of all the observation points are decided to be the real flame pixels, the suspected flame area is thought to be the real flame area, and alarm is given. The flame detection method based on video time and spatial information has lower missing detection rate and error detection rate, very good robustness and can be used for more fire monitoring occasions.

Description

technical field [0001] The invention belongs to the technical field of image information processing, in particular to a flame detection method using video image information. Background technique [0002] Fire has always been one of the great threats to the safety of people's lives and properties. It is an effective way to reduce or avoid losses caused by fires by timely alarming sudden fires. Compared with other fire alarm equipment, monitoring equipment based on computer vision technology can cover a wider area. In recent years, with the rapid development of computer vision technology, it has become possible to use this technology for early warning of fire, and some existing technologies have been applied. [0003] Existing techniques mainly focus on analyzing flame motion as well as color properties. Flame motion properties allow it to be separated from the background, excluding stationary objects with flame color properties for deeper analysis. For color analysis, the ...

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Application Information

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IPC IPC(8): G06T7/20G06K9/00G08B17/00
Inventor 丁剑叶茂王理强赵欣
Owner 四川电子科技大学教育发展基金会
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