title: Quantifying motion in video recordings of neonatal seizures by regularized optical flow methods.
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.
authors: Department of Electrical and Computer Engineering, University of Houston, Houston, TX 77204-4005, USA.
authors: Nicolaos B
authors: NB
authors: Karayiannis
authors: Bindu
authors: B
authors: Varughese
authors: Guozhi
authors: G
authors: Tao
authors: James D
authors: JD
authors: Frost
authors: Merrill S
authors: MS
authors: Wise
authors: Eli M
authors: EM
authors: Mizrahi
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003196:Computer Graphics; D004831:Epilepsies, Myoclonic / Q000175:diagnosis* / Q000209:etiology / Q000503:physiopathology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007231:Infant, Newborn; D016247:Information Storage and Retrieval / Q000379:methods; D009068:Movement; D009716:Numerical Analysis, Computer-Assisted; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012640:Seizures / Q000150:complications / Q000175:diagnosis* / Q000503:physiopathology*; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D013382:Subtraction Technique; D014584:User-Computer Interface