• DocumentCode
    2448840
  • Title

    The mixed labeling problem in multi target particle filtering

  • Author

    Boers, Yvo ; Driessen, Hans

  • Author_Institution
    Thales Nederland B.V., Hengelo
  • fYear
    2007
  • fDate
    9-12 July 2007
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In this paper the so called mixed labeling problem inherent, or at least thought to be inherent to a joint state multi target particle filter implementation is treated. The mixed labeling problem would be prohibitive for track extraction from a joint state multi target particle filter. It is shown and proven using the theory of Markov chains, that the mixed labeling problem is inherently self-resolving in a particle filter. It is also shown that the factors influencing this capability are the number of particles and the number of resampling steps.
  • Keywords
    Markov processes; particle filtering (numerical methods); target tracking; Markov chains; mixed labeling problem; multi target particle filtering; track extraction; Bayesian methods; Filtering; Labeling; Markov processes; Particle filters; Particle tracking; Target tracking; Markov Processes; Multi Target Tracking; Particle Filters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2007 10th International Conference on
  • Conference_Location
    Quebec, Que.
  • Print_ISBN
    978-0-662-45804-3
  • Electronic_ISBN
    978-0-662-45804-3
  • Type

    conf

  • DOI
    10.1109/ICIF.2007.4408005
  • Filename
    4408005