A small low-flying target visual detection and tracking system and method

Abstract

The invention discloses a small low-flying target visual detection and tracking system and its method. The system includes: a video data input unit, a video preprocessing unit, a training data construction unit, a detection model training unit, a target comparison and screening unit, and a detection and correction unit , a reference frame initialization unit, a sample library dynamic construction unit, an online learning unit, a position refinement unit, a decision control unit and a tracking result output unit. The method includes: target detection network construction, target comparison and screening; target tracking online learning; dynamic construction of a classifier training sample library, and target tracking position refinement; Robust target tracking can be achieved when tracking drift occurs due to other factors. It has the ability to update the features of the reference frame in time according to the change of the target. At the same time, the introduction of the feature point matching algorithm can avoid the error tracking caused by updating the features of the reference frame.

Description

technical field [0001] The invention relates to the technical field of flying target tracking, in particular to a small low-flying target detection and tracking system based on neural network and online learning and a detection and tracking method thereof. Background technique [0002] At present, there are already some related methods of joint detection and tracking and some tracking methods suitable for slow and small targets. The existing method realizes the short-term target tracking through the correlation filter method, and uses the target detection method based on the neural network to realize the function of relocating the target when the tracking fails. Related patents and research technologies are as follows: [0003] Chinese invention patent, titled: A robust long-term tracking method based on correlation filtering and target detection, application number: CN201910306616.4; the invention realizes target tracking through correlation filtering method, and uses one-...

AI Technical Summary

Problems solved by technology

However, this method does not make further processing after the target tracking failure, and the accuracy needs to be further improved

[0005] Combining the above existing technologies, none of them can solve the problem of extreme imbalance of the target background in single target detection and tracking, the network performance has not yet reached the optimal level, and there is still room for further improvement in the tracking accuracy of small targets

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