• DocumentCode
    833643
  • Title

    Quantifying motion in video recordings of neonatal seizures by regularized optical flow methods

  • Author

    Karayiannis, Nicolaos B. ; Varughese, Bindu ; Tao, Guozhi ; Frost, James D., Jr. ; Wise, Merrill S. ; Mizrahi, E.M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Houston, TX, USA
  • Volume
    14
  • Issue
    7
  • fYear
    2005
  • fDate
    7/1/2005 12:00:00 AM
  • Firstpage
    890
  • Lastpage
    903
  • Abstract
    This paper presents the development of regularized optical flow computation methods and an evaluation of their performance in the extraction of quantitative motion information from video recordings of neonatal seizures. A general formulation of optical flow computation is presented and a mathematical framework for the development of practical tools for computing optical flow is outlined. In addition, this paper proposes an alternative formulation of the optical flow problem that relies on a discrete approximation of a family of quadratic functionals. These regularized optical flow computation methods are used to extract motion strength signals from video recordings of neonatal seizures.
  • Keywords
    feature extraction; image motion analysis; image sequences; video recording; motion strength signal; neonatal seizure; quadratic function; quantitative motion information; regularized optical flow computation method; smoothness constraint; video recording; Application software; Biomedical imaging; Biomedical optical imaging; Data mining; Image motion analysis; Information analysis; Optical computing; Optical recording; Pediatrics; Video recording; Motion strength signal; neonatal seizure; optical flow; regularization; smoothness constraint; velocity field; video recording; Algorithms; Artificial Intelligence; Computer Graphics; Epilepsies, Myoclonic; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Infant, Newborn; Information Storage and Retrieval; Movement; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Seizures; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Subtraction Technique; User-Computer Interface;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2005.849320
  • Filename
    1439562