• DocumentCode
    2557347
  • Title

    A method for peak extraction in PHD particle filter

  • Author

    Sun, Xiaoshu ; Shurong Tian

  • Author_Institution
    Dept. of Sci. Res., Naval Aeronaut. & Astronaut. Univ., Yantai, China
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Firstpage
    575
  • Lastpage
    577
  • Abstract
    In Probability Hypothesis Density (PHD) particle filter for tracking multiple targets, a new peak extraction method was studied. Firstly, we draw the largest weight particle, when the sum of all particle weights in its neighborhood is larger than target weight, the particle is considered as a peak. Then, we do the same steps for other particles, till we find all N peaks. Experiments show that in the same conditions, the new algorithm can extract peaks more correctly than Expectation Maximization (EM), especially for contiguous targets.
  • Keywords
    particle filtering (numerical methods); target tracking; PHD particle filter; expectation maximization; multiple target tracking; peak extraction; probability hypothesis density; Bayesian methods; Mathematics; Monte Carlo methods; Particle filters; Particle tracking; Sliding mode control; Sun; Target tracking; Uncertainty; PHD filter; partical filter; peak extraction; target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5263-7
  • Electronic_ISBN
    978-1-4244-5265-1
  • Type

    conf

  • DOI
    10.1109/ICIME.2010.5478223
  • Filename
    5478223