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Chapter 14. Multitarget Tracking and Classification in Collaborative Sensor Networks via Sequential Monte Carlo Methods

  1. Simon Haykin3,
  2. K. J. Ray Liu4
  1. Tom Vercauteren1,
  2. Xiaodong Wang2

Published Online: 9 APR 2010

DOI: 10.1002/9780470487068.ch14

Handbook on Array Processing and Sensor Networks

Handbook on Array Processing and Sensor Networks

How to Cite

Vercauteren, T. and Wang, X. (2010) Multitarget Tracking and Classification in Collaborative Sensor Networks via Sequential Monte Carlo Methods, in Handbook on Array Processing and Sensor Networks (eds S. Haykin and K. J. R. Liu), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470487068.ch14

Editor Information

  1. 3

    Department of Electrical Engineering, McMaster University, Hamilton, Ontario, Canada

  2. 4

    Department of Electrical & Computer Engineering, University of Maryland, College Park, MD, USA

Author Information

  1. 1

    Asclepios Research Project, INRIA Sophia Antipolis, Sophia Antipolis Cedex, France

  2. 2

    Electrical Engineering Department, Columbia University, New York, NY, USA

Publication History

  1. Published Online: 9 APR 2010
  2. Published Print: 22 JAN 2010

ISBN Information

Print ISBN: 9780470371763

Online ISBN: 9780470487068

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Keywords:

  • multitarget tracking and collaborative sensor network classification via sequential Monte Carlo methods;
  • joint single-target tracking and classification;
  • tracking scheme relying on leader-based algorithm - sensor selection step essential

Summary

This chapter contains sections titled:

  • Introduction

  • System Description and Problem Formulation

  • Sequential Monte Carlo Methods

  • Joint Single-Target Tracking and Classification

  • Multiple-Target Tracking and Classification

  • Sensor Selection

  • Simulation Results

  • Conclusion

  • Appendix: Derivations of (14.38) and (14.40)

  • References