• DocumentCode
    1682004
  • Title

    Image Correlation Based Video Tracking

  • Author

    Ellis, Joseph G. ; Kramer, Kathleen A. ; Stubberud, Stephen C.

  • Author_Institution
    Electr. Eng., Univ. of San Diego, San Diego, CA, USA
  • fYear
    2011
  • Firstpage
    132
  • Lastpage
    136
  • Abstract
    Image correlation can be used for quality testing, pattern recognition, image searching, and image tracking. Image tracking of a video image was the focus of a frequency domain based approach using two-dimensional Fourier transforms for image correlation. When tracking a moving object that varies in size over time, a technique to identify the position of a template image within the larger picture was used. This approach requires the dynamic resizing of the template image in the video as it grows and shrinks in size. This approach allows for accurate image placement and the subsequent path of the image through a video screen can be followed. The solution can be implemented to provide real time results to provide the path of the image tracked.
  • Keywords
    Fourier transforms; object tracking; video signal processing; 2D Fourier transforms; image correlation based video tracking; image placement; image searching; image tracking; moving object tracking; pattern recognition; quality testing; Correlation; Frequency domain analysis; Image color analysis; Real time systems; Streaming media; Target tracking; image correlation; image tracking; optical correlation; video tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Engineering (ICSEng), 2011 21st International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4577-1078-0
  • Type

    conf

  • DOI
    10.1109/ICSEng.2011.31
  • Filename
    6041827