• DocumentCode
    1591233
  • Title

    Distributed Multi-sensor Multi-target Tracking with Random Sets I

  • Author

    Tian, Shurong ; He, You ; Sun, Xiaoshu

  • Author_Institution
    Res. Inst. of Appl. Math., Yantai
  • Volume
    3
  • fYear
    2007
  • Firstpage
    128
  • Lastpage
    131
  • Abstract
    An approach for distributed multi-sensor multi-target tracking with random sets is introduced. For each sensor, probability hypotheses density filter is employed to obtain a state estimate set, then, nearest neighbor filter is used to correlate the state estimates. Experiments show this approach to be able to estimate both the number of tracked objects, as well as the states of the objects, robustly from noisy observations.
  • Keywords
    distributed sensors; filtering theory; probability; sensor fusion; set theory; target tracking; distributed multisensor multitarget tracking; probability hypotheses density filter; random sets; Aerospace engineering; Bayesian methods; Filters; Integral equations; Mathematics; Nearest neighbor searches; Random variables; Signal processing algorithms; State estimation; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2007. ICNC 2007. Third International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2875-5
  • Type

    conf

  • DOI
    10.1109/ICNC.2007.334
  • Filename
    4344491
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1591233