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A Person Re-identification based Misidentification-proof Person Following Service Robot

科展類別

臺灣國際科展作品

屆次

2022年

科別

電腦科學與資訊工程

得獎情形

二等獎

學校名稱

Macau Pui Ching Middle School

指導老師

Lam Kin Un

作者

Leong Chi Io

摘要或動機

Two years ago, I attended a robot contest, in which one of the missions required the robot to follow the pedestrian to complete the task. At that time, I used their demo program to complete the task. Not long after, I found two main issues: 1. The program follows the closest point read by the depth camera, which if I walk close to a wall next to, the robot may likely ‘follow’ the wall. 2. Not to mention if another pedestrian crosses between the robot and the target. Regarding these two issues, I decided to improve it. We’ve designed a procedure of using YOLO Object Detection and Person re-identification to re-identify the target for continuous following.

190038.pdf

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