Improving the accuracy and reliability of motion tracking methods used for extracting temporal motor activity signals from video recordings of neonatal seizures.
This paper presents an approach for improving the accuracy and reliability of motion tracking methods developed for video based on block motion models. This approach estimates the displacement of a block of pixels between two successive frames by minimizing an error function defined in terms of the pixel intensities at these frames. The minimization problem is made analytically tractable by approximating the error function using a second-order Taylor expansion. The improved reliability of the proposed method is illustrated by its application in the extraction of temporal motor activity signals from video recordings of neonatal seizures.
Karayiannis
Nicolaos B
NB
Department of Electrical and Computer Engineering, University of Houston, Houston, TX 77204-4005, USA. karayiannis@uh.edu
Xiong
Yaohua
Y
Frost
James D
JD
Wise
Merrill S
MS
Mizrahi
Eli M
EM
D000465:Algorithms; D001185:Artificial Intelligence; D016000:Cluster Analysis; D005246:Feedback; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007231:Infant, Newborn; D007232:Infant, Newborn, Diseases / Q000175:diagnosis* / Q000503:physiopathology; D016247:Information Storage and Retrieval / Q000379:methods; D015931:Intensive Care, Neonatal / Q000379:methods; D008954:Models, Biological; D008991:Monitoring, Physiologic / Q000379:methods; D009043:Motor Activity; D009716:Numerical Analysis, Computer-Assisted; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012640:Seizures / Q000175:diagnosis* / Q000503:physiopathology; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D013382:Subtraction Technique; D014741:Video Recording / Q000379:methods*