Low illumination smog video detection method based on image correlation

A correlation, low illumination technology, applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve problems such as threats to flight safety, high false alarm rate, practical application needs, etc., to reduce noise, improve accuracy, High accuracy and real-time effects

Inactive Publication Date: 2017-05-31
CIVIL AVIATION UNIV OF CHINA
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Problems solved by technology

Over the years, researchers at home and abroad have proposed many effective smoke detection methods, but these methods are mainly aimed at conditions with sufficient light. The research on smoke detection methods in confined spaces or low-light environments such as night is not enough, but the practical application is very good. need
For example, the cargo compartment smoke detection system commonly used in aircraft currently uses

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  • Low illumination smog video detection method based on image correlation
  • Low illumination smog video detection method based on image correlation
  • Low illumination smog video detection method based on image correlation

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Embodiment Construction

[0019] The image correlation-based low-illuminance smoke video detection method of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0020] The image correlation-based low-illuminance smoke video detection method of the present invention is especially suitable for smoke detection under the monitoring of a camera with an infrared auxiliary light source. The specific process of its smoke detection is roughly divided into the following five steps:

[0021] Step 1. Compress and convert the recorded target video image into a grayscale image:

[0022] The size of the smoke video image recorded by this camera is 576*720 pixels. In order to reduce the time used by the entire algorithm and increase the real-time performance of smoke detection, the image is first compressed in MATLAB software. MATLAB software is a commercial mathematics software produced by Mathworks in the United States. , a high-level technical computing language...

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Abstract

The invention provides a low illumination smog video detection method based on image correlation; the method comprises the following steps: compressing a recorded video image and converting into a gray scale image, and carrying out four-frame difference operation on the obtained gray scale image, thus extracting a motion object in the video image; selecting a property threshold to convert the interframe difference result into a binary image; carrying out median filtering on the obtained binary image, thus initially reducing image noises; calculating interframe correlation of various connecting zones of the binary image in order, removing non-smog motion areas with small image correlation, and obtaining an accurate smog area image. The method can directly observe the smog developing conditions, thus removing temperature, humidity, air pressure and smell factor influences, improving the smog detection accuracy, and keeping the false alarm rate within 10% under conservative estimation; in addition, the method can replay an extracted smog area developing process, thus accurately positioning the smog source position.

Description

technical field [0001] The invention relates to the field of smoke detection, in particular to a video smoke detection method using a camera with an infrared auxiliary light source under low illumination. Background technique [0002] Video-based fire smoke detection technology has the advantages of being intuitive, fast and reliable, and can meet the needs of early fire detection, and has become a research hotspot in the field of fire detection. Over the years, researchers at home and abroad have proposed many effective smoke detection methods, but these methods are mainly aimed at conditions with sufficient light. The research on smoke detection methods in confined spaces or low-light environments such as night is not enough, but the practical application is very good. need. For example, the commonly used cargo compartment smoke detection system for aircraft currently uses light-scattering smoke detectors. This type of detector is easily affected by factors such as humidi...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V20/40
Inventor 薛倩艾东升孙钦升
Owner CIVIL AVIATION UNIV OF CHINA
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