Hybrid eye detection algorithm for outdoor environments

Published

Conference Paper

When performing eye detection in a driving scenario, new challenges arise that do not occur in a standard indoor eye tracking session. Rapid subject movement, non-controlled fast light variation and partial or total occlusions are the main problems that must be overcome. Furthermore, sunlight's infrared component makes it difficult the use of active artificial infrared light sources. In this paper, we describe a novel algorithm that combines Viola Jones face detector and TLD (Tracking Learning Detection) algorithm. In a standard driving scenario, it achieves a 84% rate of detection. Furthermore, we have designed a filtering stage that allows a low false positive rate. The algorithms hardware requirement is a standard web cam, and it can potentially work in real time. Copyright 2012 ACM.

Duke Authors

Cited Authors

  • Bengoechea, JJ; Villanueva, A; Cabeza, R

Published Date

  • December 1, 2012

Published In

  • Ubicomp'12 Proceedings of the 2012 Acm Conference on Ubiquitous Computing

Start / End Page

  • 685 - 688

International Standard Book Number 13 (ISBN-13)

  • 9781450312240

Citation Source

  • Scopus