• DocumentCode
    261004
  • Title

    Integrated particle filter for target tracking

  • Author

    Radosavljevic, Zvonko ; Musicki, Darko ; Kovacevic, B. ; Woo Chan Kim ; Taek Lyul Song

  • Author_Institution
    Sch. of Electr. Eng., Univ. of Belgrade, Belgrade, Serbia
  • fYear
    2014
  • fDate
    15-18 Jan. 2014
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Tracking in cluttered environments requires false track discrimination and data association. We extend the particle filter approach to include the data association probabilities and recursively calculate the probability of target existence. The probability of target existence may be used to discriminate false tracks.
  • Keywords
    particle filtering (numerical methods); probability; sensor fusion; target tracking; cluttered environments; data association probabilities; false track discrimination; integrated particle filter; target probability; target tracking; Atmospheric measurements; Clutter; Noise measurement; Particle measurements; Radar tracking; Target tracking; Trajectory; Data Association; Particle Filter; Target Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Information and Communications (ICEIC), 2014 International Conference on
  • Conference_Location
    Kota Kinabalu
  • Type

    conf

  • DOI
    10.1109/ELINFOCOM.2014.6914426
  • Filename
    6914426
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=261004