A Target Tracking Method Based on Rotary Wing UAV Platform

Abstract

The invention discloses a target tracking method based on a rotor unmanned aerial vehicle platform. The target tracking method of the present invention combines multi-scale sample collection with a classifier updated in real time, effectively realizing fast and accurate online real-time tracking of moving targets by the rotor UAV platform; Classifier response value and its change compared with the maximum classifier response value of the previous frame, combined with the tracking performance judgment result of the previous frame, to determine whether the tracking performance of the current frame is stable. When the tracking performance is unstable, timely Correcting the classification result of the classifier can effectively prevent the loss of the tracking target due to occlusion during the target tracking process. Compared with the prior art, the present invention effectively realizes fast and accurate online real-time tracking of moving targets by the rotor UAV platform, and has multi-scale tracking characteristics, better tracking performance, lower algorithm complexity, and better real-time performance. Less demanding on hardware resources.

Description

technical field [0001] The invention relates to the technical fields of image processing and pattern recognition, in particular to a target tracking method based on a rotor UAV platform. Background technique [0002] In recent years, with the increasing level of science and technology, the development of UAV business is booming. Due to its simple structure, low cost, high flexibility, strong environmental adaptability, and easy loading of various sensors and equipment, coupled with the rapid progress of digital communication, sensors, microelectronics, virtual reality and other technologies, UAVs It has broad application prospects and development space in military fields such as air combat, urban armed anti-terrorism, maritime search and rescue, and civilian fields, and the use of video captured by drones to track targets is one of the important applications. [0003] According to different backgrounds, moving target recognition and tracking can be divided into static backg...

AI Technical Summary

Problems solved by technology

However, it is difficult to obtain an accurate geometric model of a moving target in practical applications, and the amount of calculation is large, and the algorithm has poor real-time performance.

[0005] After the UAV is equipped with a camera, the moving target detection is based on the dynamic background. Although the field of view of the camera is expanded, there is a complex relative motion between the target and the camera, which puts forward higher requirements for the target tracking algorithm.

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