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Guest Editors:
Qiang Ji,
Rensselaer Polytechnic Institute, qji@ecse.rpi.edu
Harry
Wechsler, George Mason University, wechsler@cs.gmu.edu
Andrew
Duchowski, Clemson University, andrewd@vr.clemson.edu
Myron Flickner, IBM Almaden
Research, flick@almaden.ibm.com
Aims and Scope
As
one of the most salient features of human face, eyes play an important role
in interpreting and understanding a person's desires, needs, and emotional
states. Robust non-intrusive
eye detection and tracking is, therefore, crucial for human computer
interaction, attentive user interfaces, and understanding human affective
states . In addition, the
unique geometric, photometric, and motion characteristics of the eyes also
provide important visual cues for face detection, face recognition, and for
facial expression understanding.
There has been much work in eye detection and tracking. The existing work can be broadly
classified into two categories: traditional image based passive approaches
and the active IR based approaches. The former approaches can be further
divided into appearance-based,
model-based, feature-based, and motion-based methods. The latter approach
exploits the spectral properties of pupil under near IR illumination. Eye tracking is accomplished by
tracking the bright (dark) pupils.
Recently, there are efforts in combining the passive approach with
the active approach to produce more robust eye tracking.
Despite these efforts, robust, accurate, and non-intrusive eye
detection and tracking remains largely an unsolved issue. The challenges
result from eye closure, eye occlusion, variability in scale and face
orientation, and different lighting conditions. The many commercial eye
trackers tend to be intrusive and restrictive. Furthermore, they often
require a cumbersome calibration process. On the other hand, the existing
non-intrusive eye tracking techniques lack robustness and accuracy which
limit their use in practice.
The special issue solicits original research that focuses on
the following aspects of eye detection and gaze estimation
·
non-intrusive
eye detection and tracking
·
non-intrusive
eye gaze estimation requiring minimal or no user calibration
·
eye
gestures and activities detection and characterization
·
applications
of eye detection and tracking techniques
·
comprehensive
review/survey of the existing technologies in eye and gaze detection and
tracking
Submission Guidelines
Only original,
high-quality papers -- in-line with the CVIU guidelines --will be considered
for publication in this special issue. Prospective authors concerned about their paper falling
under the scope of this special issue, should send an abstract to the guest
editors for a preliminary evaluation prior to the submission of the full paper.
All papers should be submitted electronically via our http
server. Files should be in PDF
or PS format. Authors should
also submit a cover letter in plain text with the following information:
title of the submitted article, the name of the file that has been
submitted, all authors full names, and, the corresponding author's mailing
address, day time phone number and e-mail. Please, send all cover letters
via e-mail to Prof. Qiang Ji at qji@ecse.rpi.edu
The URL for our http server is http://cviu.ecse.rpi.edu/cviu/login.php
Follow the instructions there to submit your paper.
If you use LaTeX, please use elsart style files to format your
manuscript. The latex styles
can be downloaded from http://www.elsevier.com/locate/latex . If you use other text editors,
please follow the instructions here to format your
paper.
Important Dates:
·
Electronic
submission of full manuscripts: October
15, 2003
·
Notification
to authors:
February
15, 2004
·
Submission
of revised manuscripts:
April
15, 2004
·
Final
decision on accepted papers:
May
15, 2004
·
Publication
of special issue:
Third
quarter 2004
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