Szczegóły publikacji
Opis bibliograficzny
Eye recognition in near-infrared images for driver's drowsiness monitoring / Bogusław CYGANEK, Sławomir GRUSZCZYŃSKI // W: Proceedings of the 2013 IEEE Intelligent vehicles symposium [Dokument elektroniczny] : 23–26 June 2013, Gold Coast, Australia / IEEE. — Wersja do Windows. — Dane tekstowe. — [Piscataway : IEEE], cop. 2013. — 1 dysk optyczny. — e-ISBN: 978-1-4673-2754-1. — S. 397–402. — Wymagania systemowe: Adobe Reader ; napęd CD-ROM. — Bibliogr. s. 402, Abstr. — Tyt. przejęto z ekranu tytułowego. — W bazie Web of Science dod. seria: IEEE Intelligent Vehicles Symposium ; ISSN 1931-0587
Autorzy (2)
Dane bibliometryczne
| ID BaDAP | 75106 |
|---|---|
| Data dodania do BaDAP | 2013-08-14 |
| DOI | 10.1109/IVS.2013.6629501 |
| Rok publikacji | 2013 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | IEEE Intelligent Vehicles Symposium |
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.