Paper Info
Title
High speed video monitoring system for eyelid movement measurements.
Abstract
The paper presents a high speed video processing algorithm designed to measure several parameters related to eyelid movements during blinking. First, the facial features of the subject are detected and tracked; then, the eye regions of interest are extracted using data regarding face orientation and eyebrows position. In the next stage, eye contour and representative lines for upper and lower eyelids are detected in each video sequence frame. Finally eyelid characteristics are extracted from the eyelid measurements data.
Year
DOI
Venue
2012
10.1109/TSP.2012.6256393
TSP
Keywords
Field
DocType
eye,face recognition,feature extraction,image sequences,video signal processing,blinking,eye contour,eyebrows position,eyelid movement measurements,face orientation,facial features,feature detection,feature tracking,hgh speed video monitoring,high speed video processing,representative lines,video sequence frame,Eye blink,eye contour detection,eyelid movement,eyelid quantitative measurements,video processing
Eyelid,Facial recognition system,Computer vision,Video processing,Monitoring system,Computer science,Feature extraction,Artificial intelligence,Motion measurement,Eye blink
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Daniel Petrisor172.63
Cristian Fosalau272.97
Cristian Zet301.01
Felix Mariut471.95