Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2014, Article ID 719029, 7 pages
http://dx.doi.org/10.1155/2014/719029
Research Article

Tracking Pedestrians across Multiple Microcells Based on Successive Bayesian Estimations

1Faculty of Science and Engineering, Kindai University, Higashiosaka 577-8502, Japan
2Nara Institute of Science and Technology, Ikoma 630-0192, Japan
3Graduate School of Information Science and Technology, Osaka University, Suita 565-0871, Japan
4Cybermedia Center, Osaka University, Toyonaka 560-0043, Japan

Received 8 March 2014; Accepted 28 July 2014; Published 11 August 2014

Academic Editor: Juan M. Corchado

Copyright © 2014 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.

Linked References

  1. J. Singh, U. Madhow, R. Kumar, S. Suri, and R. Cagley, “Tracking multiple targets using binary proximity sensors,” in Proceedings of the 6th International Symposium on Information Processing in Sensor Networks (IPSN '07), pp. 529–538, April 2007. View at Publisher · View at Google Scholar · View at Scopus
  2. X. Liu, G. Zhao, and X. Ma, “Target localization and tracking in noisy binary sensor networks with known spatial topology,” in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '07), pp. 1029–1032, April 2007. View at Publisher · View at Google Scholar · View at Scopus
  3. Y. Busnel, L. Querzoni, R. Baldoni, M. Bertier, and A. M. Kermarrec, “On the deterministic tracking of moving objects with a binary sensor network,” in Proceedings of the IEEE International Conference on Distributed Computing in Sensor (DCOSS '08), pp. 46–59, Santorini Island, Greece, June 2008.
  4. Z. Wang, E. Bulut, and B. K. Szymanski, “Distributed energy-efficient target tracking with binary sensor networks,” ACM Transactions on Sensor Networks, vol. 6, no. 4, pp. 1–32, 2010. View at Publisher · View at Google Scholar · View at Scopus
  5. Y. Busnel, L. Querzoni, R. Baldoni, M. Bertier, and A. M. Kermarrec, “Analysis of deterministic tracking of multiple objects using a binary sensor network,” ACM Transactions on Sensor Networks, vol. 8, no. 1, pp. 1–27, 2011. View at Google Scholar
  6. J. Singh, R. Kumar, U. Madhow, S. Suri, and R. Cagley, “Multiple-target tracking with binary proximity sensors,” ACM Transactions on Sensor Networks, vol. 8, no. 1, article 5, 2011. View at Publisher · View at Google Scholar · View at Scopus
  7. “Acoustic slab sensor,” http://www.eco-compteur.com/?wpid=15035.
  8. Pyroelectric sensor, http://www.eco-compteur.com/?wpid=15036.
  9. S. Fujii, Y. Taniguchi, G. Hasegawa, and M. Matsuoka, “Pedestrian counting with grid-based binary sensors based on Monte Carlo method,” SpringerPlus, vol. 3, article 299, 2014. View at Publisher · View at Google Scholar
  10. Y. Taniguchi and H. Nakano, “Modeling and evaluation of a ceiling-mounted compound-eye sensor,” Information, vol. 17, no. 2, pp. 663–676, 2014. View at Google Scholar
  11. M. Murata, Y. Taniguchi, G. Hasegawa, and H. Nakano, “SHOT: scenario-type hypothesis object tracking with indoor sensor networks,” IEICE Transactions on Information and Systems, vol. E94-D, no. 5, pp. 1035–1044, 2011. View at Publisher · View at Google Scholar · View at Scopus
  12. Y. Taniguchi, M. Sasabe, S. Aihara, and H. Nakano, “Bayesian estimation-based pedestrian tracking in microcells,” The Scientific World Journal, vol. 2013, Article ID 187479, 10 pages, 2013. View at Publisher · View at Google Scholar
  13. R. Want, A. Hopper, V. Falcao, and J. Gibbons, “Active badge location system,” ACM Transactions on Information Systems, vol. 10, no. 1, pp. 91–102, 1992. View at Publisher · View at Google Scholar · View at Scopus
  14. A. Ward, A. Jones, and A. Hopper, “A new location technique for the active office,” IEEE Personal Communications, vol. 4, no. 5, pp. 42–47, 1997. View at Publisher · View at Google Scholar · View at Scopus
  15. N. B. Priyantha, A. Chakraborty, and H. Balakrishnan, “The cricket location-support system,” in Proceedings of the 6th Annual International Conference on Mobile Computing and Networking (MobiCom '00), pp. 32–43, August 2000. View at Scopus
  16. D. B. Reid, “An algorithm for tracking multiple target,” IEEE Transactions on Automatic Control, vol. 24, no. 6, pp. 843–854, 1979. View at Google Scholar · View at Scopus
  17. S. Oh, S. Russell, and S. Sastry, “Markov chain Monte Carlo data association for general multiple-target tracking problems,” in Proceedings of the 43rd IEEE Conference on Decision and Control (CDC '04), pp. 735–742, Nassau, Bahamas, December 2004. View at Scopus
  18. Z. Khan, T. Balch, and F. Dellaert, “MCMC-based particle filtering for tracking a variable number of interacting targets,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 11, pp. 1805–1819, 2005. View at Publisher · View at Google Scholar · View at Scopus
  19. M. Coates, “Distributed particle filters for sensor networks,” in Proceedings of the 3rd ACM/IEEE International Symposium on Information Processing in Sensor Networks (IPSN '04), pp. 99–107, April 2004. View at Scopus
  20. G. H. Weiss, “An analysis of pedestrian queueing,” Journal of Research of the National Bureau of Standards, vol. 67, pp. 229–243, 1963. View at Publisher · View at Google Scholar · View at MathSciNet
  21. D. H. Mitchell and J. M. Smith, “Topological network design of pedestrian networks,” Transportation Research Part B: Methodological, vol. 35, no. 2, pp. 107–135, 2001. View at Publisher · View at Google Scholar · View at Scopus
  22. V. Vukadinović, Ó. R. Helgason, and G. Karlsson, “An analytical model for pedestrian content distribution in a grid of streets,” Mathematical and Computer Modelling, vol. 57, no. 11-12, pp. 2933–2944, 2013. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus