Object Detection in Motion Reproduction System with Segmentation Algorithm

被引：1

作者：

Sun, Xiaobai ^{[1
]}

Nozaki, Takahiro ^{[2
]}

Ohnishi, Kouhei ^{[3
]}

Murakami, Toshiyuki ^{[2
]}

机构：

[1] Keio Univ, Grad Sch Integrated Design Engn, Yokohama, Kanagawa, Japan

[2] Keio Univ, Dept Syst Design Engn, Yokohama, Kanagawa, Japan

[3] Keio Univ, Hapt Res Ctr, Yokohama, Kanagawa, Japan

来源：

2022 IEEE 17TH INTERNATIONAL CONFERENCE ON ADVANCED MOTION CONTROL (AMC) | 2022年

关键词：

Motion reproduction; Object detection; Segmentation;

D O I：

10.1109/AMC51637.2022.9729308

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Human skillful motion can be extracted through teleoperation. The saved motion can be reproduced by robots without human which is known as motion reproduction. If the environment is changed after the motion is saved, the saved motion is required to be modified according to the target object. Traditionally, the target object is specified by human operator. The proposed method provide a algorithm which automatically detects the target object in the image based on the saved motion. The object detection is examined through actual saved motion data. The target object extracted from image based on a single saved motion can be used as template for other reproduction. The proposed method is also believed to reduce the burden of annotation for save motion.

引用

页码：42 / 47

页数：6

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