• DocumentCode
    1255058
  • Title

    Jump-diffusion processes in tracking/recognition

  • Author

    Sworder, D.D. ; Boyd, J.E.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
  • Volume
    46
  • Issue
    1
  • fYear
    1998
  • fDate
    1/1/1998 12:00:00 AM
  • Firstpage
    235
  • Lastpage
    239
  • Abstract
    Advances in sensor technology permit more sophisticated tracking/identification algorithms to be implemented. This correspondence compares and contrasts the modeling framework employed in two recent image-enhanced trackers and generalizes one of them (the PME) for use in target identification
  • Keywords
    adaptive filters; array signal processing; identification; motion estimation; nonlinear filters; sensor fusion; target tracking; tracking filters; identification algorithms; image-enhanced trackers; jump-diffusion processes; modeling framework; nonlinear filters; recognition; sensor technology; target identification; tracking; Acceleration; Differential equations; Filtration; Image sensors; Nonlinear filters; Sensor phenomena and characterization; State-space methods; Stochastic processes; Target recognition; Target tracking;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.651226
  • Filename
    651226