Cart (Loading....) | Create Account
Close category search window
 

Extraction of temporal motor activity signals from video recordings of neonatal seizures by feature tracking methods based on rigid motion models

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
2 Author(s)
Karayiannis, N.B. ; Dept. of Electr. & Comput. Eng., Houston Univ., TX, USA ; Sami, A.

This paper presents a new method for tracking features in video. This method estimates the displacement of a feature between two successive frames by minimizing an error function defined in terms of the feature intensities at these frames. Feature tracking relies on a rigid motion model, which allows for translation, rotation and uniform scaling of the feature tracked from one frame to the next. The proposed feature tracking method is used to extract motor activity signals from video recordings of neonatal seizures.

Published in:

Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE  (Volume:1 )

Date of Conference:

17-21 Sept. 2003

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.