Human characterization by a following robot using a depth sensor

Mirai Shimoyama, Nobuto Matsuhira, Kaoru Suzuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationSII 2017 - 2017 IEEE/SICE International Symposium on System Integration
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages998-1003
Number of pages6
Volume2018-January
ISBN (Electronic)9781538622636
DOIs
Publication statusPublished - 2018 Feb 1
Event2017 IEEE/SICE International Symposium on System Integration, SII 2017 - Taipei, Taiwan, Province of China
Duration: 2017 Dec 112017 Dec 14

Other

Other2017 IEEE/SICE International Symposium on System Integration, SII 2017
CountryTaiwan, Province of China
CityTaipei
Period17/12/1117/12/14

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ASJC Scopus subject areas

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

Cite this

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