Target tracking method of unmanned plane

Abstract

The invention relates to a target tracking method of an unmanned plane. The method comprises that two ground images are shot continuously, and the ground coordinate and course angle of the unmanned plane and time of obtaining the ground image are marked in each image; both the ground images are placed in the same coordinate system; the two ground images are filtered, a foreground image including a target image is taken from the filtered images, feature points are extracted from the foreground image, the feature points in each area of the last foreground image are extracted and match feature points of a template of a tracked target, the template of the tracked target is updated by utilizing the areas which are matched successfully, and the feature points of the updated template match the feature points in each area of the present foreground image; the speed and direction of the tracked target is determined according to the positional relation of the feature points of the areas, which are matched successfully, of the two foreground images; and the speed and course of the unmanned plane are adjusted according to the speed and direction of the tracked target. The method provided by the invention is high in calculate speed as well as target tracking speed.

Description

technical field [0001] The invention relates to an unmanned aerial vehicle target tracking method, which belongs to the technical field of data processing. Background technique [0002] UAVs can be used to obtain important information on the ground, such as images, including still pictures and videos, from which timely and accurate battlefield information and precise positioning information can be obtained to capture strategic strike targets and complete tasks such as strike effect evaluation. [0003] In the process of air-to-ground observation, moving targets on the ground or water (such as trains, cars, ships, etc.) contain important military value and are the focus of reconnaissance, and often require continuous attention during flight. Since the moving target is in the same state of motion as the UAV, it is often difficult to capture continuously because the target moves beyond the UAV's image field of view. Therefore, the key to air-to-earth observation and tracking o...

AI Technical Summary

Problems solved by technology

Since the moving target is in the same state of motion as the drone, it is often difficult to capture continuously because the target moves beyond the drone's image field of view

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