• DocumentCode
    1935103
  • Title

    Maintaining Track Identity for a Fragmenting Target

  • Author

    Gardner, Andrew ; Rollason, Malcolm ; Everett, Nick ; Salmond, David

  • Author_Institution
    QinetiQ, Farnborough
  • fYear
    2006
  • fDate
    7-8 March 2006
  • Firstpage
    21
  • Lastpage
    28
  • Abstract
    A multiple hypothesis track splitting filter has been developed for maintaining track on a target as it sheds extraneous objects. The filter includes full modelling of merged measurements from closely spaced objects and the transition to resolution of individual objects. This method is based on Kalman filtering of measurement streams (or tracks) defined by frame-to- frame associations which are assumed to be known.
  • Keywords
    Kalman filters; target tracking; tracking filters; Kalman filtering; frame-to-frame association; multiple hypothesis track splitting filter; track identity;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Target Tracking: Algorithms and Applications, 2006. The IEE Seminar on (Ref. No. 2006/11359)
  • Conference_Location
    Birmingham
  • Print_ISBN
    0-86341-608-X
  • Type

    conf

  • Filename
    1631026
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1935103