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The Scientific World Journal
Volume 2013, Article ID 187479, 10 pages
Research Article

Bayesian Estimation-Based Pedestrian Tracking in Microcells

1The Cybermedia Center, Osaka University, Toyonaka 560-0043, Japan
2Graduate School of Engineering, Osaka University, Suita 565-0871, Japan
3Graduate School of Information Science and Technology, Osaka University, Suita 565-0871, Japan

Received 8 July 2013; Accepted 21 August 2013

Academic Editors: S. H. Rubin and S. Sun

Copyright © 2013 Yoshiaki Taniguchi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Antonin Danalet, Bilal Farooq, and Michel Bierlaire, “A Bayesian approach to detect pedestrian destination-sequences from WiFi signatures,” Transportation Research Part C: Emerging Technologies, vol. 44, pp. 146–170, 2014. View at Publisher · View at Google Scholar
  • Yoshiaki Taniguchi, Masahiro Sasabe, Takafumi Watanabe, and Hirotaka Nakano, “Tracking Pedestrians across Multiple Microcells Based on Successive Bayesian Estimations,” The Scientific World Journal, vol. 2014, pp. 1–7, 2014. View at Publisher · View at Google Scholar