• DocumentCode
    1417800
  • Title

    Analyzing looming motion components from their spatiotemporal spectral signature

  • Author

    Burlina, Phillipe ; Chellappa, Rama

  • Author_Institution
    Center for Autom. Res., Maryland Univ., College Park, MD, USA
  • Volume
    18
  • Issue
    10
  • fYear
    1996
  • fDate
    10/1/1996 12:00:00 AM
  • Firstpage
    1029
  • Lastpage
    1033
  • Abstract
    This paper addresses the use of spatio-temporal transform methods applied to the analysis of dynamic image sequences and the characterization of image motion. The image motion including a divergent component (resulting from a looming camera component) is analyzed in the spatio-temporal Mellin transform (MT) domain, resulting in the separation of the spectrum into two parts: a structural term corresponding to the spatial MT of the static image, and a kinematic term depending on time-to-collision (a motion support). We examine potential applications of this property for the recovery of image motion from integral image brightness measurements and the computation of time-to-collision using spatio-temporal MT analysis
  • Keywords
    brightness; computer vision; frequency-domain analysis; image restoration; image sequences; motion estimation; spectral analysis; transforms; Mellin transform; computer vision; dynamic image sequences; frequency domain analysis; image brightness measurements; image motion; image recovery; looming camera component; spatiotemporal spectral signature; time-to-collision; Brightness; Cameras; Image analysis; Image motion analysis; Image sequence analysis; Image sequences; Kinematics; Motion analysis; Motion measurement; Spatiotemporal phenomena;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.541412
  • Filename
    541412