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

IEEE Transactions on Image Processing

Volumn 14, Issue 7, 2005, Pages 890-903

  Karayiannis, Nicolaos B ^a   Varughese, Bindu ^a   Tao, Guozhi ^a   Frost Jr , James D ^b   Wise, Merrill S ^b   Mizrahi, Eli M ^b  

^a UNIVERSITY OF HOUSTON   (United States)

^b BAYLOR COLLEGE OF MEDICINE   (United States)

Author keywords

Motion strength signal; Neonatal seizure; Optical flow; Regularization; Smoothness constraint; Velocity field; Video recording

Indexed keywords

APPROXIMATION THEORY; COMPUTATIONAL METHODS; NEONATAL MONITORING; OPTICAL FLOWS; PARTIAL DIFFERENTIAL EQUATIONS; VARIATIONAL TECHNIQUES; VIDEO RECORDING;

MOTION STRENGTH SIGNAL; NEONATAL SEIZURE; SMOOTHNESS CONSTRAINT;

MOTION ESTIMATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLINICAL TRIAL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER GRAPHICS; COMPUTER INTERFACE; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; MATHEMATICAL COMPUTING; METHODOLOGY; MOVEMENT (PHYSIOLOGY); MYOCLONUS EPILEPSY; NEWBORN; PATHOPHYSIOLOGY; REPRODUCIBILITY; SEIZURE; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING;

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;

EID: 21244466844     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2005.849320     Document Type: Article

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