• DocumentCode
    549007
  • Title

    Hybrid intensity and likelihood ratio tracking (iLRT) filter for multitarget detection

  • Author

    Streit, Roy ; Osborn, Bryan ; Orlov, Kirill

  • Author_Institution
    Metron, Reston, VA, USA
  • fYear
    2011
  • fDate
    5-8 July 2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    A particle version of a PHD / Intensity filter is coupled with a cumulative log-likelihood ratio (CLLR) detector to enable multiple target detection and track extraction. The filter provides each particle with a path history, or target trajectory. The CLLR evaluated for such a particle path is the quickest possible detector of target presence on the path. This hybrid approach is useful because track extraction methods based on the CLLR for the particle paths are grounded in an optimal target detection statistic, not merely on the relative abundance of particles that represent the output of the PHD / Intensity filter. The utility of the hybrid intensity and likelihood ratio tracking (iLRT) filter approach is demonstrated by example.
  • Keywords
    maximum likelihood detection; object detection; particle filtering (numerical methods); tracking filters; CLLR detector; PHD/intensity filter; cumulative log-likelihood ratio; hybrid intensity; iLRT filter; likelihood ratio tracking filter; multiple target detection; multitarget detection; particle version; target trajectory; track extraction; Clutter; Feature extraction; Imaging; Joints; Kinematics; Object detection; Target tracking; Cumulative Loglikelihood Ratio; Intensity Filter; Likelihood Ratio Tracking; MSTWG; Multistatic Sonar; Multitarget Tracking; PHD Filter; Particle Filter; Track Heritage; iLRT;
  • 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
    5977441