• DocumentCode
    2643843
  • Title

    Novel object tracking method using the block-based motion estimation

  • Author

    Shin, H. Eon Soo ; Kim, Sung Min ; Kim, Joo Woong ; Eom, Ki Hwan

  • Author_Institution
    Dongguk Univ., Seoul
  • fYear
    2007
  • fDate
    17-20 Sept. 2007
  • Firstpage
    2535
  • Lastpage
    2539
  • Abstract
    In this paper, we propose a novel object tracking method which is applicable to surveillance system application. Proposed method that we use, are adapted to MPEG-2 for predicts the object contour using motion vector information, and the fuzzy control system. This algorithm uses the block-based motion estimation, and simple to apply the real time. Accordingly, we can make the security system with a moving system. The best of our knowledge is that it is easy to apply the object tracking system. In order to verify the effectiveness of the proposed method, we performed the experimentation. Experimental results are presented that show the effectiveness of the proposed system.
  • Keywords
    fuzzy control; motion estimation; surveillance; tracking; MPEG-2; block-based motion estimation; fuzzy control system; motion vector information; object contour; object tracking method; surveillance system; Cameras; Data mining; Feature extraction; Fuzzy control; Information security; Lighting; Motion estimation; Robot vision systems; Surveillance; Tracking; Fuzzy control; Keywords; Object tracking; macro-block; motion vector;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE, 2007 Annual Conference
  • Conference_Location
    Takamatsu
  • Print_ISBN
    978-4-907764-27-2
  • Electronic_ISBN
    978-4-907764-27-2
  • Type

    conf

  • DOI
    10.1109/SICE.2007.4421417
  • Filename
    4421417