Quantifying motion in video recordings of neonatal seizures by feature trackers based on predictive block matching

This work introduces predictive block matching, a method developed to track motion in video by exploiting the advantages of block motion estimation and adaptive block matching. The proposed method relies on a pure translation motion model to estimate the displacement of a block between two successiv...

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Bibliographic Details
Published inThe 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 1; pp. 1447 - 1450
Main Authors Karayiannis, N.B., Sami, A., Frost, J.D., Wise, M.S., Mizrahi, E.M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2004
Subjects
adaptive block matching
Educational institutions
Motion estimation
motor activity signal
neonatal seizure
Nervous system
Neurophysiology
Pediatrics
predictive block matching
Roentgenium
Sampling methods
Taylor series
Tracking
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Summary:This work introduces predictive block matching, a method developed to track motion in video by exploiting the advantages of block motion estimation and adaptive block matching. The proposed method relies on a pure translation motion model to estimate the displacement of a block between two successive video frames before initiating the search for the best match of the block tracked throughout the frame sequence. The search for the best match relies on adaptive block matching, which employs an update strategy based on Kalman filtering to account for the changing appearance of the block. Predictive block matching was used to extract motor activity signals from video recordings of neonatal seizures.
ISBN:0780384393
9780780384392
DOI:10.1109/IEMBS.2004.1403447