• DocumentCode
    597920
  • Title

    Smooth control of continuous autofocus

  • Author

    Dong-Chen Tsai ; Chen, He Henry

  • Author_Institution
    Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2012
  • fDate
    Sept. 30 2012-Oct. 3 2012
  • Firstpage
    373
  • Lastpage
    376
  • Abstract
    For a video camera to continuously focus on a moving object in the autofocus process, accurate estimate of the in-focus lens position is required in order to avoid the so-called bouncing phenomenon that is resulted from back-and-forth lens movements around the in-focus lens position. In this paper, we present a novel continuous focus method that effectively improves the accuracy of in-focus lens position estimate for dynamic scenes by a Kalman filter and provides good user experience by a smooth control of the lens movements in the autofocus process. Experimental results are shown to demonstrate the performance of our method.
  • Keywords
    Kalman filters; image motion analysis; video cameras; video signal processing; Kalman filter; bouncing phenomenon; continuous autofocus process; in-focus lens position estimation; lens movement smooth control; video camera; Cameras; Estimation; Indexes; Kalman filters; Lenses; Noise measurement; Streaming media; Autofocus; Kalman filter; focus profile; still camera; video camera;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2012 19th IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4673-2534-9
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2012.6466873
  • Filename
    6466873