A study on human gaze detection based on 3D eye model

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Human gaze can give valuable tips for human computer interaction, but it is very difficult to detect human gaze position with one or two camera systems. Conventional method has the limitation of inaccurate gaze detection performance or not being able to track the fast motion of user's face and eye. To overcome such problem, in this paper, we propose a new gaze detection method. Compared to previous works, our method has following three advantages. First, our method uses three camera systems, such as a wide and narrow view stereo cameras and allows user's natural head and eye movement. Second, to obtain gaze position on a monitor, we detect the 3D eye position and gaze vector of eyeball. Third, to enhance the eye detection performance, we use AdaBoost eye detector and PCA algorithm. Experimental results showed that our method could be used for real-time gaze detection system.

Original languageEnglish
Title of host publicationArticulated Motion and Deformable Objects - 4th International Conference, AMDO 2006, Proceedings
PublisherSpringer Verlag
Pages1-9
Number of pages9
ISBN (Print)354036031X, 9783540360315
DOIs
StatePublished - 2006
Event4th International Conference on Articulated Motion and Deformable Objects, AMDO 2006 - Port d'Andratx, Mallorca, Spain
Duration: 11 Jul 200614 Jul 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4069 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Articulated Motion and Deformable Objects, AMDO 2006
Country/TerritorySpain
CityPort d'Andratx, Mallorca
Period11/07/0614/07/06

Keywords

  • 3D Eye Position and Gaze Vector of Eyeball
  • A Wide and Stereo Narrow View Cameras
  • Gaze Detection

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