• DocumentCode
    2093220
  • Title

    Periodic Motion Detection on Patient with Motion Disorders

  • Author

    Uhrikova, Zuzana ; Hlavac, Vaclav

  • Author_Institution
    Center for Machine Perception, Czech Tech. Univ. in Prague, Prague
  • fYear
    2008
  • fDate
    17-19 June 2008
  • Firstpage
    90
  • Lastpage
    92
  • Abstract
    The proposed method serves for detecting and analysing translating and non-translating periodic motion with small oscillation from video data. Periodic motion in a video sequence is detected using principles of motion accumulation. Non-translating periodic motion is described as change of the point brightness over the time. The trajectory of the motion is obtained by tracking the translating object with periodic motion. Following frequency analysis is done by the means of Fourier transform. The developed method is applied for observing patients suffering from Parkinson disease.
  • Keywords
    Fourier transforms; diseases; image motion analysis; image sequences; medical image processing; patient monitoring; video signal processing; video surveillance; Fourier transform; Parkinson disease; frequency analysis; motion accumulation; motion disorders; nontranslating periodic motion; periodic motion detection; video data; video sequence; Fourier transforms; Frequency; Image motion analysis; Legged locomotion; Motion analysis; Motion detection; Optical mixing; Parkinson´s disease; Tracking; Video sequences; motion analysis; periodic motion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 2008. CBMS '08. 21st IEEE International Symposium on
  • Conference_Location
    Jyvaskyla
  • ISSN
    1063-7125
  • Print_ISBN
    978-0-7695-3165-6
  • Type

    conf

  • DOI
    10.1109/CBMS.2008.97
  • Filename
    4561962