• DocumentCode
    2448363
  • Title

    Particle filters for tracking closely spaced targets

  • Author

    Ekman, M. ; Sviestins, Egils ; Sjoberg, L.

  • Author_Institution
    Saab AB Jarfalla, Jarfalla
  • fYear
    2007
  • fDate
    9-12 July 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper we will consider several algorithms for tracking closely spaced objects. In particular we will concentrate on various particle filter implementations. One particular problem when using a joint multi target particle filter is the so-called mixed labelling problem. This problem amounts to the fact that different particles will have a different labelling w.r.t. target identity. The combination of the mixed labelling problem and naive or straightforward track extraction leads to performance degradation. This will be illustrated and alternative methods to alleviate this effect will be presented.
  • Keywords
    object detection; particle filtering (numerical methods); target tracking; closely spaced objects; closely spaced target tracking; mixed labelling problem; multi target particle filter; particle filters; track extraction; Clouds; Degradation; H infinity control; Kalman filters; Kinematics; Labeling; Particle filters; Particle tracking; Probability density function; Target tracking; Mixed labelling; Multi-target tracking; Particle Filter;
  • 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.2007.4407983
  • Filename
    4407983