• DocumentCode
    1735525
  • Title

    Tracking of moving object based on optical flow detection

  • Author

    Chen, Zhiwen ; Cao, Jianzhong ; Tang, Yao ; Tang, Linao

  • Author_Institution
    Xi´´an Inst. of Opt. & Precision Mech., Xi´´an, China
  • Volume
    2
  • fYear
    2011
  • Firstpage
    1096
  • Lastpage
    1099
  • Abstract
    Object tracking is one of the most important fields in computer vision and image processing community. In this paper, a novel method for tracking of moving object is proposed. We analyze many methods which are used to segment the Video Object (VO). Then we propose a way, which is based on optical flow, to track object by using the object contour. This algorithm achieves the effective object tracking in spatial position. The experiment result shows that moving object tracking is accurate, rapid and stable by using this algorithm.
  • Keywords
    image segmentation; image sequences; object tracking; video signal processing; computer vision; image processing; moving object tracking; object contour; optical flow detection; spatial position; video object segmentation; Adaptive optics; Computer vision; Feature extraction; Image motion analysis; Image segmentation; Optical filters; Optical imaging; Moving object; Object tracking; Optical flow; Video Object;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2011 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-1586-0
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2011.6182151
  • Filename
    6182151