• DocumentCode
    549210
  • Title

    Uniform sampling for multiple target tracking

  • Author

    Morelande, Mark R. ; Zhang, Alan

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Parkville, VIC, Australia
  • fYear
    2011
  • fDate
    5-8 July 2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    A major problem in the application of particle filters to multiple target tracking is the loss of modes due to sample degeneracy. A particle filter based on the notion of uniform sampling is developed to address this issue. The proposed particle filter approximates uniform sampling in an auxiliary variable framework. Simulation results show that the proposed method provides significantly improved mode retention compared to a particle filter using the optimal importance density.
  • Keywords
    particle filtering (numerical methods); target tracking; auxiliary variable framework; improved mode retention; multiple target tracking; optimal importance density; particle filters; uniform sampling; Approximation methods; Density measurement; Kernel; Noise; Numerical models; Surveillance; Target tracking; multiple target tracking; particle filtering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4577-0267-9
  • Type

    conf

  • Filename
    5977653
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=549210