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Mixed-State Particle Filtering for Simultaneous Tracking and Re-identification in Non-overlapping Camera Networks

  • Boris Meden
  • Patrick Sayd
  • Frédéric Lerasle
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6688)

Abstract

This article presents a novel approach to person tracking within large-scale indoor environments monitored by non-overlapping field-of-view camera networks. We address the image-based tracking problem with distributed particle filters using a hierarchical color model. The novelty of our approach resides in the embedding of an already-seen-people database in the particle filter framework. Doing so, the filter performs not only position estimation but also does establish identity probabilities for the current targets in the network. Thus we use online person re-identification as a way to introduce continuity to track people in disjoint camera networks. No calibration stage is required. We demonstrate the performances of our approach on a 5 camera-disjoint network and a 16-person database.

Keywords

re-identification tracking camera network non-overlapping fields of view particle filtering 

References

  1. 1.
    Breitenstein, M., Reichlin, F., Leibe, B., Koller-Meier, E., Van Gool, L.: Robust tracking-by-detection using a detector confidence particle filter. In: Proceedings of the International Conference on Computer Vision (2010)Google Scholar
  2. 2.
    Cong, D.N.T., Khoudour, L., Achard, C., Meurie, C., Lezoray, O.: People re-identification by spectral classification of silhouettes. Signal Processing (2009)Google Scholar
  3. 3.
    Gilbert, A., Bowden, R.: Tracking objects across cameras by incrementally learning inter-camera colour calibration and patterns of activity. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3952, pp. 125–136. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  4. 4.
    Gray, D., Tao, H.: Viewpoint invariant pedestrian recognition with an ensemble of localized features. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part I. LNCS, vol. 5302, pp. 262–275. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  5. 5.
    Isard, M., Blake, A.: A mixed-state condensation tracker with automatic model-switching. In: Proceedings of the International Conference on Computer Vision (1998)Google Scholar
  6. 6.
    Javed, O., Shafique, K., Shah, M.: Appearance modeling for tracking in multiple non-overlapping cameras. In: Proceedings of the International Conference on Computer Vision and Pattern Recognition (2005)Google Scholar
  7. 7.
    Lim, F., Leoputra, W., Tan, T.: Non-overlapping distributed tracking system utilizing particle filter. The Journal of VLSI Signal Processing (2007)Google Scholar
  8. 8.
    Makris, D., Ellis, T., Black, J.: Bridging the gaps between cameras. In: Proceedings of the International Conference on Computer Vision and Pattern Recognition (2004)Google Scholar
  9. 9.
    Nummiaro, K., Koller-Meier, E., Van Gool, L.: An adaptive color-based particle filter. Image and Vision Computing (2003)Google Scholar
  10. 10.
    Perez, P., Vermaak, J., Blake, A.: Data fusion for visual tracking with particles. Proceedings of the IEEE (2004)Google Scholar
  11. 11.
    Prosser, B., Zheng, W., Gong, S., Xiang, T., Mary, Q.: Person Re-Identification by Support Vector Ranking. In: Proceedings of the British Machine Vision Conference (2010)Google Scholar
  12. 12.
    Qu, W., Schonfeld, D., Mohamed, M.: Distributed bayesian multiple-target tracking in crowded environments using multiple collaborative cameras. EURASIP J. Appl. Signal Process. (2007)Google Scholar
  13. 13.
    Smith, K., Gatica-Perez, D., Odobez, J.: Using particles to track varying numbers of interacting people. In: Proceedings of the International Conference on Computer Vision and Pattern Recognition (2005)Google Scholar
  14. 14.
    Yilmaz, A., Javed, O., Shah, M.: Object tracking: A survey. Acm Computing Surveys (CSUR) 38(4), 13 (2006)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Boris Meden
    • 1
  • Patrick Sayd
    • 1
  • Frédéric Lerasle
    • 2
    • 3
  1. 1.CEA, LIST, Laboratoire Vision et Ingénierie des ContenusGif-sur-YvetteFrance
  2. 2.CNRS; LAASToulouse Cedex 4France
  3. 3.Université de Toulouse; UPS, INSA, INP, ISAE; UT1, UTM, LAASToulouse Cedex 4France

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