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
fDate :
7/1/2005 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2005.849320