Small infrared moving target detection method based on complicated background estimation

Abstract

The invention discloses a small infrared moving target detection method based on complicated background estimation. The method comprises the steps that a template matching method is utilized for estimating background motion vector parameters between two frames of images, the background motion vector parameters are added to the first frame of image to obtain a motion compensation image, a motion compensation image is removed from the other frame of image to obtain a foreground image with the background removed, saliency detection is carried out on the foreground image to obtain a saliency confidence picture, and thresholding is carried out on the saliency confidence picture to extract a small moving target. According to the small infrared moving target detection method, the small moving target is detected from the complicated infrared scene with no priori knowledge, and the small infrared moving target can be rapidly, accurately and automatically detected.

Description

technical field [0001] The invention relates to a method for detecting small infrared moving targets based on complex background estimation, and belongs to the cross-application technical fields of computer vision, pattern recognition, image processing and the like. Background technique [0002] As a key technology in the infrared imaging detection system, the research of infrared small target detection has been concerned by scholars at home and abroad. A target appears, from the process of formation on the infrared imager, it develops from a faint point-like small target at a long distance to a relatively bright and stable spot, and finally forms a larger surface target. Obviously, finding the target at a long distance is decisive for winning the initiative. When the target is too far away from the infrared detector, the size of the infrared target is very small, the contrast is very low, and there is no obvious texture, structure and other characteristics, which makes the...

AI Technical Summary

Problems solved by technology

Due to the movement of the infrared seeker, the background and the target may be in a moving state in the infrared imaging technology, and the traditional background estimation and detection methods will be affected by the movement of the background

[0004] In practical applications, for some infrared images and small moving targets, their prior knowledge cannot be obtained. Firstly, the characteristics of the target cannot be obtained, that is, it cannot be detected by modeling methods; secondly, due to the imaging conditions of infrared images and low The limitation of the signal-to-noise ratio makes the small target have no obvious texture, structure and other characteristics, which makes the detection of the target more difficult; finally, the follow-up of the background brings greater interference to the target

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