Tracking system and tracking method

Abstract

The invention provides a tracking system and a tracking method, and relates to the tracking field. The tracking system is used for controlling a mobile tracking end to track a mobile target end. The tracking system comprises a distance determination unit, which is used for determining the current relative distance of the tracking end with respect to the target end; an angle determination unit, which is used for determining the current relative angle of the tracking end with respect to the target end; a target end speed obtaining unit, which is used for obtaining current target movement speed of the target end; and a controller, which is used for adjusting the current tracking movement speed and current tracking movement posture of the tracking end according to the current relative distance, the current relative angle and the current target movement speed to enable the tracking end to basically keep a preset relative distance and preset relative angle of the tracking end with respect to the target end. Through the speed, the tracking end is allowed to respond to the movement of the target end more timely, thereby reducing retardation time; and since the tracking end keeps consistent in speed with the target end, inertia due to sudden speed increase or reduction is reduced, thereby realizing accurate tracking.

Description

technical field [0001] The invention relates to the field of tracking, in particular to a tracking system and a tracking method. Background technique [0002] In recent years, target positioning and tracking technology has been a research hotspot and difficulty for various smart devices or devices. Tracking devices can be aerial robots - drones, robots on the ground or smart cars, etc. [0003] Taking unmanned aerial vehicles as an example, the current unmanned aerial vehicles on the market basically use computer vision to achieve tracking, and the tracking angle and tracking distance of the unmanned aerial vehicle are determined by collecting and processing images of the tracking target. When using the above method for tracking, since the image processing requires a large amount of calculation, there is a time lag problem to a certain extent, and the image processing is not accurate enough when calculating the distance information. In addition, it is also found that when ...

AI Technical Summary

Problems solved by technology

[0004] In addition, when using computer vision to track the target, once the tracking target is not within the shooting range of the camera or is blocked by other objects, effective tracking cannot be achieved

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