Video smoke detecting method based on color invariance

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.