Paper Info
Title
Real-Time Eye Detection and Tracking in the Near-Infrared Video for Drivers' Drowsiness Control.
Abstract
This paper presents a visual system for real-time eye detection and tracking in the near-infrared (NIR) video streams for drivers' monitoring. The system starts with crude eye position estimation based on an eye model suitable for NIR processing. In the next step, eye regions are verified with the classifier operating in the higher-order decomposition of the tensor of eye prototypes. Finally, the process is augmented with the linear tracker which facilitates eye detection and allows real-time operation necessary in the automotive environment. The reported experiments show high accuracy and real-time operation of the system in the car.
Year
DOI
Venue
2015
10.1007/978-3-319-26227-7_45
PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON COMPUTER RECOGNITION SYSTEMS, CORES 2015
Keywords
Field
DocType
Eye tracking,Real-time detection
Computer vision,Pattern recognition,Computer science,Near-infrared spectroscopy,Eye tracking,Artificial intelligence,Classifier (linguistics),Eye detection,Automotive industry
Conference
Volume
ISSN
Citations 
403
2194-5357
0
PageRank 
References 
Authors
0.34
0
1
Name
Order
Citations
PageRank
Boguslaw Cyganek114524.53