Pano UMECHIKA: A Crowded Underground City Panoramic View System

  • Ismail Arai
  • Maiya Hori
  • Norihiko Kawai
  • Yohei Abe
  • Masahiro Ichikawa
  • Yusuke Satonaka
  • Tatsuki Nitta
  • Tomoyuki Nitta
  • Harumitsu Fujii
  • Masaki Mukai
  • Soichiro Horimi
  • Koji Makita
  • Masayuki Kanbara
  • Nobuhiko Nishio
  • Naokazu Yokoya
Conference paper

DOI: 10.1007/978-3-642-14883-5_22

Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 79)
Cite this paper as:
Arai I. et al. (2010) Pano UMECHIKA: A Crowded Underground City Panoramic View System. In: de Leon F. de Carvalho A.P., Rodríguez-González S., De Paz Santana J.F., Rodríguez J.M.C. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 79. Springer, Berlin, Heidelberg

Abstract

Toward a really useful navigation system, utilizing spherical panoramic photos with maps like Google Street View is efficient. Users expect the system to be available in all areas they go. Conventional shooting methods obtain the shot position from GPS sensor. However, indoor areas are out of GPS range. Furthermore, most urban public indoor areas are crowded with pedestrians. Even if we blur the pedestrians in a photo, the photos with blurring are not useful for scenic information. Thus, we propose a method which simultaneously subtracts pedestrians based on background subtraction method and generates location metadata by manually input from maps. Using these methods, we achieved an underground panoramic view system which displays no pedestrians.

Keywords

spherical panorama navigation system background subtraction Wi-Fi positioning 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Ismail Arai
    • 1
  • Maiya Hori
    • 2
  • Norihiko Kawai
    • 2
  • Yohei Abe
    • 1
  • Masahiro Ichikawa
    • 1
  • Yusuke Satonaka
    • 1
  • Tatsuki Nitta
    • 1
  • Tomoyuki Nitta
    • 1
  • Harumitsu Fujii
    • 1
  • Masaki Mukai
    • 1
  • Soichiro Horimi
    • 1
  • Koji Makita
    • 2
  • Masayuki Kanbara
    • 2
  • Nobuhiko Nishio
    • 1
  • Naokazu Yokoya
    • 2
  1. 1.Ubiquitous Computing and Networking Lab.Ritsumeikan UniversityKusatsuJapan
  2. 2.Vision and Media Computing Lab.Nara Institute of Science and TechnologyIkomaJapan

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