Infrared object tracking method based on multi- characteristic image and average drifting

Abstract

The invention relates to an infrared target tracking method based on a multi-feature image and mean shift, which pertains to the field of mode identification technology, comprising the steps that: the Gabor feature and the entropy feature of the image are extracted from the original image, the corresponding Gabor feature image and the entropy feature image are generated; then the original infrared image, the Gabor feature image and the entropy feature image are synthesized into the multi-feature image, the values of r, g and b of each pixel position are the gray value of the original infrared image, the value of the Gabor feature and the value of the entropy feature respectively; a target on the multi-feature image is tracked by using the mean shift algorithm, thus obtaining more precise target position information. The infrared target tracking method can make up for the shortcoming that the mean shift algorithm can only track the target according to the single feature (statistical feature), and the proposed multi-feature image concept can also be used as a technical means for improving the tracking precision of other tracking methods.

Description

technical field [0001] The invention relates to an infrared target tracking method in the technical field of image processing, in particular to an infrared target tracking method based on multi-feature images and mean shift. Background technique [0002] Infrared camera has the characteristics of all-weather, and has many advantages compared with visible light camera. Improving the tracking accuracy of infrared targets is of great significance to video surveillance systems in the military and civilian fields. Mean-shift is one of the main technologies in visual tracking, and it has good timeliness, which is a key advantage and makes it popular in practical applications. Another advantage of mean shift is that it can track non-rigid targets, which is determined by its principle. Mean shift is a target tracking method based on pattern matching. It performs pattern matching (pattern search) according to the pixel statistical characteristics of the target area. Currently, it ca...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to aim at the deficiencies in the prior art, provide a kind of infrared target tracking method based on multi-feature image and mean value shift, make it make up for mean value shift (Mean-shift) algorithm can only track according to single feature (statistic feature) Target defects, obtain higher tracking accuracy than when tracking the target in the original infrared image (gray image)

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