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Evolutionary People Tracking for Robot Partner of Information Service in Public Areas

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Intelligent Robotics and Applications (ICIRA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10463))

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Abstract

The future would be full of artificial intelligence definitely. Since Olympic game 2020 would be held in Tokyo, it is overwhelming important to give a navigating service to the tourist from the entire world. Even there would be a large number of volunteers then, there would be a lack of position absent. This paper described a vision system for robot system for airport navigation that set in the airport or other places. This visual system contained the detecting part and human counting part that combined with evolutionary and clustering algorithms and the experiment shows an efficient result in some cases.

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Author information

Authors and Affiliations

  1. School of System Design, Tokyo Metropolitan University, Asahigaoka 2-6-6, Hino, Tokyo, Japan

    Wei Quan & Naoyuki Kubota

Authors
  1. Wei Quan
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  2. Naoyuki Kubota
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Corresponding author

Correspondence to Wei Quan .

Editor information

Editors and Affiliations

  1. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    YongAn Huang

  2. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    Hao Wu

  3. Institute of Industrial Research, University of Portsmouth, Portsmouth, United Kingdom

    Honghai Liu

  4. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    Zhouping Yin

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Quan, W., Kubota, N. (2017). Evolutionary People Tracking for Robot Partner of Information Service in Public Areas. In: Huang, Y., Wu, H., Liu, H., Yin, Z. (eds) Intelligent Robotics and Applications. ICIRA 2017. Lecture Notes in Computer Science(), vol 10463. Springer, Cham. https://doi.org/10.1007/978-3-319-65292-4_61

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  • DOI: https://doi.org/10.1007/978-3-319-65292-4_61

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65291-7

  • Online ISBN: 978-3-319-65292-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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