Flame detection method based on kinetic characteristic and color spatiotemporal information

A technology of motion characteristics and flame detection, which is applied in image data processing, instruments, calculations, etc., can solve the problems of detection rate drop and affect the acquisition of image features, and achieve the effect of removing artifacts and interference

Active Publication Date: 2017-08-08
TAIYUAN UNIV OF TECH
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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 c...

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  • Flame detection method based on kinetic characteristic and color spatiotemporal information
  • Flame detection method based on kinetic characteristic and color spatiotemporal information
  • Flame detection method based on kinetic characteristic and color spatiotemporal information

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Embodiment Construction

[0057] The present invention will be described in detail below in conjunction with specific embodiments.

[0058] A flame detection method based on motion characteristics and color space-time information, the overall process is as follows figure 1 As shown, the establishment process of the background model is as follows figure 2 Shown, the present invention comprises the following steps:

[0059] (1) Select the first image of the image sequence, and use the pixels in this image to initialize the background model.

[0060] In step (1), for any pixel point, the background model BG(x, y) needs to be established first, and then the foreground can be detected. The expression of the background model BG(x, y) is as follows:

[0061] BG(x,y)={v 1 (x, y), v 2 (x,y),...,v N (x, y)}, N=20 (1)

[0062] Wherein BG(x, y) represents the background model proposed by the present invention, v N (x, y) represents the Nth background model sample in the background model, N is the total num...

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Abstract

The invention discloses a flame detection method based on a kinetic characteristic and color spatiotemporal information. The method is characterized by converting a region of interest into a brightness component and a saturation component by using the color spatiotemporal information characteristic of a real flame area; obtaining a foreground region by means of a threshold value; successively obtaining a foreground region I and a foreground region S according to an image sequence time sequence; storing the foreground region I and the foreground region S to form a characteristic sequence; inputting a observation characteristic value sequence into a correlation analysis formula for calculation to obtain a confirmation result indicating whether real flame exists in the region of interest; and when a correlation analysis result is greater than a confirmation threshold, determining that the real flame exists in the region of interest and giving an alarm. The flame detection method has good rapidity, has a high detection rate and a low false detection rate within short processing time, has good robustness to illumination, and can be widely used in fire monitoring occasions.

Description

technical field [0001] The invention relates to the field of flame target detection algorithms in image processing, in particular to a flame detection method based on motion characteristics and color space-time information. Background technique [0002] Fire has always been one of the great threats to the forest environment and property safety. It is an effective measure to reduce or avoid losses caused by fires by timely alarming sudden fires. For outdoor environments, scalar sensors can be installed, which use the smoke, temperature, and light characteristics of fire flames to detect flames, but due to factors such as space height and coverage, they often lead to high false alarm rates. In this case, image-based fire detection technology based on computer vision technology can achieve more accurate and visual monitoring. In recent years, with the rapid development of computer vision technology, it is possible to use this technology for fire alarm, and some existing techno...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/13G06T7/246G06T7/90
Inventor 强彦宋宁赵涓涓王华马瑞青
Owner TAIYUAN UNIV OF TECH
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