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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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.
Application Domain
Character and pattern recognition
Technology Topic
Color invarianceTranslation invariance +4
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