Paper Info
Title
Eye recognition in near-infrared images for driver's drowsiness monitoring
Abstract
The paper presents a system for driver's eye recognition from near infrared (NIR) images. The system is organized in a cascade of two classification modules. The first one is responsible for initial eye detection and the second one for eye validation. Detection is based on a novel eye model suited for the NIR images. This process is augmented by the background subtraction module. The subsequent stage of eye validation is performed by the second classifier based on the higher-order decomposition of a tensor with geometrically deformed prototypes. Obtained results in day and night conditions show high accuracy and real-time processing of the system in software implementation.
Year
DOI
Venue
2013
10.1109/IVS.2013.6629501
Intelligent Vehicles Symposium
Keywords
DocType
ISSN
computerised monitoring,human factors,image classification,infrared imaging,object detection,object recognition,real-time systems,tensors,NIR images,background subtraction module,classification modules,classifier,day conditions,driver drowsiness monitoring,eye detection,eye model,eye recognition,eye validation,geometrically deformed prototypes,higher-order tensor decomposition,near-infrared images,night conditions,real-time processing,software implementation
Conference
1931-0587
ISBN
Citations 
PageRank 
978-1-4673-2754-1
0
0.34
References 
Authors
8
2
Name
Order
Citations
PageRank
Boguslaw Cyganek114524.53
Slawomir Gruszczynski200.34