Specific person autonomously following method and device, robot, equipment and storage medium

Abstract

The present invention provides a specific person autonomously following method and device, a robot, equipment and a storage medium. The method includes: receiving trigger information; responding to the trigger information, collecting first image information; performing human body detection on the first image information to obtain the first detection Result information; according to the pre-stored registration information, the first detection result information is followed by target recognition to obtain the recognition result information; the tracking information is generated according to the recognition result information and the second image information collected in real time, for the motion control unit to automatically carry out according to the tracking information follow. The present invention performs human body detection on the collected images, and performs target recognition according to the registration information, and then generates tracking information according to the recognition results and real-time image information. It is convenient to automatically follow a specific target.

Description

technical field [0001] The present application relates to the technical field of robots, and in particular to a method and device for autonomously following a specific person, a robot, equipment and a storage medium. Background technique [0002] Robot specific person following in complex background environment is a very important technical difficulty in the field of robotics at present. It is the most important means of realizing intelligent human-computer interaction. It needs to be used in more and more situations in actual life and production. The following function of a specific person. [0003] Taking the field of logistics and warehousing as an example, because existing robots cannot accurately and conveniently follow couriers or warehouse managers for express delivery or parcel sorting, production efficiency still needs to be improved. For example, a robot that follows a specific target through face recognition requires detection of a human face during the following...

AI Technical Summary

Problems solved by technology

[0003] Taking the field of logistics and warehousing as an example, because the existing robots cannot accurately and conveniently follow the courier or warehouse manager for express delivery or parcel sorting, the production efficiency still needs to be improved

For example, a robot that follows a specific target through face recognition requires detection of a human face during the following process, which makes it very inconvenient for the following target to walk during the following process of the robot; another example, a robot that follows through infrared and ultrasonic waves cannot follow a specific goal

[0004] Furthermore, the existing robot tracking solutions often cannot continue to follow when the target is lost or there are multiple people in the field of vision, and cannot meet the automatic tracking requirements in complex environments

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