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
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