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Video smoke detecting method based on color invariance

A detection method and smoke technology, which are applied in the field of pattern recognition, can solve the problems of lowering the accuracy of detection of moving areas and lowering of smoke detection, and achieve the effects of small calculation amount, improved accuracy and good robustness.

Active Publication Date: 2017-11-14
NANJING UNIV OF SCI & TECH
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  • Application Information

AI Technical Summary

Problems solved by technology

The above two methods mainly rely on the motion characteristics of the smoke, and rarely use the essential feature of the smoke color, and the extraction of the motion area only relies on simple background subtraction. When the illumination changes strongly, the detection accuracy of the motion area will be greatly reduced. , so that the accuracy of smoke detection will decrease

Method used

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  • Video smoke detecting method based on color invariance
  • Video smoke detecting method based on color invariance
  • Video smoke detecting method based on color invariance

Examples

Experimental program
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Effect test

Embodiment 1

[0069] We test our method on real smoke videos from Bilkent University. The video used comes from the public video library on the Internet http: / / signal.ee.bilkent.edu.tr / VisiFire / Demo / SmokeClips . Six groups of video sequences in different environments are used for detection, namely: sWindow.avi, sBehindtheFence.avi, sEmptyR1.avi, sMoky.avi, sWasteBasket.avi, sBtFence2.avi. The videos contain outdoor and indoor environments under varying lighting conditions. The detection effect is as Figure 8 As shown, it can be seen that the method of the present invention has high smoke detection accuracy, stable performance, and effectively eliminates the interference of rigid moving objects (such as people) and similar colors (such as the sky).

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Abstract

The invention provides a video smoke detecting method based on color invariance. The method comprises the steps of firstly adaptively updating an image sequence background and obtaining a real-time background image; then performing normalization processing on a current image and the background image for obtaining the image with translation invariance and scale zooming invariance; performing motion area detection on the normalized current image and the background image by means of an optical gain, and filtering the motion area without a smoke color by means of an optical characteristic of the smoke; and finally confirming the smoke area of the motion area from the motion area with the smoke color by means of a color invariance descriptor. The video smoke detecting method has advantages of low calculation amount, high real-time performance, high efficiency, and high robustness for illumination change and noise corrosion which commonly occur in an outdoor monitoring video.

Description

technical field [0001] The invention belongs to the field of pattern recognition, in particular to a video smoke detection method based on color invariance. Background technique [0002] Tens of thousands of fires occur every day around the world, killing hundreds of people. In order to be able to detect fires in time, relevant companies have designed various smoke detectors such as temperature sensing, smoke sensing, and light sensing according to changes in physical quantities such as smoke, gas, and temperature. The law of fire shows that the appearance of fire smoke is earlier than that of open fire. When the flame is small, it is easy to be blocked by trees, but smoke is not easy to be blocked. Therefore, smoke plays an important role in early fire detection. Smoke detection based on video surveillance has caused extensive attention. [0003] The patent application number is CN201510170159.2, and the Chinese patent titled "Video smoke detection method based on multi-f...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46
CPCG06V20/44G06V20/41G06V10/56
Inventor 周文忠郭山红谢仁宏芮义斌李鹏王辉
Owner NANJING UNIV OF SCI & TECH
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