arrow
Return

Pupil detection and tracking using multiple light sources

delete2000-03-01
delete282
PRE
AI
C
Carlos H. Morimoto *
D
Dave Koons
A
Arnon Amir
M
Myron Flickner
DOI:10.1016/S0262-8856(99)00053-0delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
We present a fast, robust, and low cost pupil detection technique that uses two near-infrared time multiplexed light sources synchronized with the camera frame rate. The two light sources generate bright and dark pupil images, which are used for pupil segmentation. To reduce artifacts caused mostly by head motion, a larger temporal support is used. This method can be applied to detect and track several pupils (or several people). Experimental results from a real-time implementation of the system show that this technique is very robust, and able to detect pupils using wide field of view low cost cameras under different illumination conditions, even for people with glasses, from considerable long distances. (C) 2000 Elsevier Science B.V. All rights reserved.
Keywords:
pupil detection
gaze tracking
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Image and Vision Computing cover
Image and Vision Computing
IF:
4.2
Papers:
4.0K
Citations:
6.7K

Organization

No organization information available