Human characterization by a following robot using a depth sensor

Mirai Shimoyama, Nobuto Matsuhira, Kaoru Suzuki

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

In recent years, the service robotics market has been continuously expanding. A service robot needs to move and work among many people; therefore, it should be able to avoid obstacles and unnecessary people and provide service to specific people. Following robots, which assist people in carrying luggage at airports and hotels and packages at factories, have been developed. A following robot detects a person using a sensor and continues to follow him/her, but often loses sight of that person after a while. In this study, we attempt to detect a person using the Xtion® depth sensor, manufactured by ASUS. We propose a way to identify people using "shoulder width" and "head height" in a triangle consisting of three points on the head, left shoulder, and right shoulder. The parameters are calculated from the data obtained from the face and torso.

元の言語English
ホスト出版物のタイトルSII 2017 - 2017 IEEE/SICE International Symposium on System Integration
出版者Institute of Electrical and Electronics Engineers Inc.
ページ998-1003
ページ数6
2018-January
ISBN(電子版)9781538622636
DOI
出版物ステータスPublished - 2018 2 1
イベント2017 IEEE/SICE International Symposium on System Integration, SII 2017 - Taipei, Taiwan, Province of China
継続期間: 2017 12 112017 12 14

Other

Other2017 IEEE/SICE International Symposium on System Integration, SII 2017
Taiwan, Province of China
Taipei
期間17/12/1117/12/14

ASJC Scopus subject areas

  • Modelling and Simulation
  • Instrumentation
  • Artificial Intelligence
  • Computer Science Applications
  • Engineering (miscellaneous)
  • Materials Science (miscellaneous)
  • Control and Optimization

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  • これを引用

    Shimoyama, M., Matsuhira, N., & Suzuki, K. (2018). Human characterization by a following robot using a depth sensor. : SII 2017 - 2017 IEEE/SICE International Symposium on System Integration (巻 2018-January, pp. 998-1003). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SII.2017.8279353