Infrared target detection method and computer readable storage medium

Abstract

The invention provides an infrared target detection method and a computer storage medium. The infrared target detection method specifically comprises the following steps: inputting continuous video frame data; correcting lens shake and background change of continuous video frame data through an image registration method based on a foreground mask algorithm; associating adjacent frame targets in continuous video frame data by using time and space constraints; in combination with a KCF algorithm, further tracking the associated target to obtain a tracking result; and finally determining whether the target is a moving target according to the association frequency and the tracking result of the target. According to the infrared target detection method provided by the invention, shaking and background change are corrected through feature point matching based on KLT, adjacent frame targets are bound and associated by using features such as time and space; and then the multi-dimensional target association is carried out by combining a kernel correlation filtering tracking method based on KCF and a moving target is detected in a combined manner. Therefore, infrared weak and small target detection rate under airborne forward-looking and downward-looking conditions is improved, and the false alarm rate is reduced.

Description

technical field [0001] The invention relates to the technical field of target detection, in particular to an infrared target detection method and a computer-readable storage medium. Background technique [0002] The detection and tracking of airborne forward-looking infrared weak and small targets is an extremely difficult problem. In the airborne environment, the infrared imaging system shakes seriously, the background changes, the resolution of the infrared image is low, and the target to be detected is small, and the atmosphere is turbulent. Influence and other factors make target detection very difficult. [0003] Infrared weak and small target detection plays an important role in infrared imaging technology, and can be used for long-distance target detection, recognition, and early warning. There are currently a variety of algorithms for the detection of small infrared targets, including methods based on the human visual system, methods based on pipeline filtering, met...

AI Technical Summary

Problems solved by technology

[0002] The detection and tracking of airborne forward-looking infrared weak and small targets is an extremely difficult problem. In the airborne environment, the infrared imaging system shakes seriously, the background changes, the resolution of the infrared image is low, and the target to be detected is small, and the atmosphere is turbulent. Factors such as influence make target detection very difficult

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