• DocumentCode
    2762102
  • Title

    Monte Carlo Multi-object Tracking in Wireless Sensor Networks

  • Author

    Liyan, Chen

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Heilongjiang Univ., Harbin, China
  • Volume
    2
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    162
  • Lastpage
    165
  • Abstract
    In recent years, the techniques of target tracking in wireless sensor networks earn more and more concerns from researchers around the world. Real time, tracking accuracy and energy costing are the vital problems. In this paper, a Monte Carlo based multi-targets tracking method was proposed to meet tracking accuracy in tracking system(MCMT, Monte Carlo Multi-object Tracking). Traditional Monte Carlo tracking method is improved. This method forecasts velocity of object to establish sample model and shrinks sample area. The problem of tracking error because of the uncertainty of target’s velocity is solved with this method as well, which has higher tracking accuracy.
  • Keywords
    Computer networks; Computer science; Electronic mail; Monte Carlo methods; Power engineering and energy; Sampling methods; Sensor systems; Target tracking; Uncertainty; Wireless sensor networks; Monte Carlo method; multi-object tracking; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Challenges in Environmental Science and Computer Engineering (CESCE), 2010 International Conference on
  • Conference_Location
    Wuhan, China
  • Print_ISBN
    978-0-7695-3972-0
  • Electronic_ISBN
    978-1-4244-5924-7
  • Type

    conf

  • DOI
    10.1109/CESCE.2010.264
  • Filename
    5493251