• DocumentCode
    34914
  • Title

    Two-Layer Particle Filter for Multiple Target Detection and Tracking

  • Author

    Garcia-Fernandez, Angel F. ; Grajal, Jesus ; Morelande, Mark R.

  • Author_Institution
    Univ. Politec. de Madrid, Madrid, Spain
  • Volume
    49
  • Issue
    3
  • fYear
    2013
  • fDate
    Jul-13
  • Firstpage
    1569
  • Lastpage
    1588
  • Abstract
    The detection and tracking of an unknown number of targets using a Bayesian hierarchical model with target labels is presented. To approximate the posterior probability density function (PDF), we develop a two-layer particle filter (PF). One deals with track initiation, and the other deals with track maintenance. In addition the parallel partition (PP) method is proposed to sample the states of the surviving targets.
  • Keywords
    Bayes methods; object detection; particle filtering (numerical methods); target tracking; Bayesian hierarchical model; multiple target detection; multiple target tracking; parallel partition method; posterior probability density function; two layer particle filter; Approximation methods; Bayes methods; Mathematical model; Probability density function; Signal to noise ratio; Target tracking; Vectors;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/TAES.2013.6558005
  • Filename
    6558005
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=34914