• DocumentCode
    247715
  • Title

    Real-time motion estimation based on event-based vision sensor

  • Author

    Jun Haeng Lee ; Kyoobin Lee ; Hyunsurk Ryu ; Park, Paul K. J. ; Chang-Woo Shin ; Jooyeon Woo ; Jun-Seok Kim

  • Author_Institution
    SAIT, SEC, Yongin, South Korea
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    204
  • Lastpage
    208
  • Abstract
    Fast and efficient motion estimation is essential for a number of applications including the gesture-based user interface (UI) for portable devices like smart phones. In this paper, we propose a highly efficient method that can estimate four degree of freedom (DOF) motional components of a moving object based on an event-based vision sensor, the dynamic vision sensor (DVS). The proposed method finds informative events occurred at edges and estimates their velocities for global motion analysis. We will also describe a novel method to correct the aperture problem in the motion estimation.
  • Keywords
    edge detection; estimation theory; image classification; image sensors; motion estimation; user interfaces; UI; aperture problem; edge pattern classification; event-based vision sensor; gesture-based user interface; global motion analysis; object edge motion estimation; Adaptive optics; Apertures; Computer vision; Dynamics; Image edge detection; Motion estimation; Voltage control; dynamic vision sensor; motion estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025040
  • Filename
    7025040