• DocumentCode
    72835
  • Title

    Motion Analysis Using 3D High-Resolution Frequency Analysis

  • Author

    Ueda, Toshitsugu ; Fujii, Kenichi ; Hirobayashi, S. ; Yoshizawa, T. ; Misawa, Tetsuya

  • Author_Institution
    Dept. of Intellectual Inf. Syst. Eng., Univ. of Toyama, Toyama, Japan
  • Volume
    22
  • Issue
    8
  • fYear
    2013
  • fDate
    Aug. 2013
  • Firstpage
    2946
  • Lastpage
    2959
  • Abstract
    The spatiotemporal spectra of a video that contains a moving object form a plane in the 3D frequency domain. This plane, which is described as the theoretical motion plane, reflects the velocity of the moving objects, which is calculated from the slope. However, if the resolution of the frequency analysis method is not high enough to obtain actual spectra from the object signal, the spatiotemporal spectra disperse away from the theoretical motion plane. In this paper, we propose a high-resolution frequency analysis method, described as 3D nonharmonic analysis (NHA), which is only weakly influenced by the analysis window. In addition, we estimate the motion vectors of objects in a video using the plane-clustering method, in conjunction with the least-squares method, for 3D NHA spatiotemporal spectra. We experimentally verify the accuracy of the 3D NHA and its usefulness for a sequence containing complex motions, such as cross-over motion, through comparison with 3D fast Fourier transform. The experimental results show that increasing the frequency resolution contributes to high-accuracy estimation of a motion plane.
  • Keywords
    image motion analysis; image resolution; least squares approximations; pattern clustering; video signal processing; 3D frequency domain; 3D high resolution frequency analysis; NHA; analysis window; frequency analysis method; least-squares method; motion analysis; nonharmonic analysis; object signal; plane clustering method; spatiotemporal spectra; theoretical motion plane; video spatiotemporal spectra; Accuracy; Frequency domain analysis; Frequency estimation; Image restoration; Signal resolution; Spatiotemporal phenomena; Standards; Clustering methods; image motion analysis; least squares methods; Algorithms; Artifacts; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Motion; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Video Recording;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2012.2228490
  • Filename
    6357278