• DocumentCode
    431449
  • Title

    Hybrid Particle Filter and Mean Shift tracker with adaptive transition model

  • Author

    Maggio, Emilio ; Cavallaro, Andrea

  • Author_Institution
    Multimedia & Vision Lab., Queen Mary, Univ. of London, UK
  • Volume
    2
  • fYear
    2005
  • fDate
    March 18-23, 2005
  • Firstpage
    221
  • Lastpage
    224
  • Keywords
    adaptive estimation; adaptive filters; image sampling; probability; target tracking; tracking filters; video signal processing; adaptive state transition model; adaptive variances; hybrid particle filter; local maximum; mean shift tracker; multi-modal pdf; partial occlusions; position estimation; samples; target size estimation; total occlusions; Filtering algorithms; Histograms; Iterative algorithms; Kernel; Laboratories; Particle filters; Particle tracking; Predictive models; Robustness; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8874-7
  • Type

    conf

  • DOI
    10.1109/ICASSP.2005.1415381
  • Filename
    1415381
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=431449