NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Eye-Movement Tracking Using Compressed Video ImagesInfrared video cameras offer a simple noninvasive way to measure the position of the eyes using relatively inexpensive equipment. Several commercial systems are available which use special hardware to localize features in the image in real time, but the constraint of realtime performance limits the complexity of the applicable algorithms. In order to get better resolution and accuracy, we have used off-line processing to apply more sophisticated algorithms to the images. In this case, a major technical challenge is the real-time acquisition and storage of the video images. This has been solved using a strictly digital approach, exploiting the burgeoning field of hardware video compression. In this paper we describe the algorithms we have developed for tracking the movements of the eyes in video images, and present experimental results showing how the accuracy is affected by the degree of video compression.
Document ID
20020009548
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Mulligan, Jeffrey B.
(NASA Ames Research Center Moffett Field, CA United States)
Beutter, Brent R.
(NASA Ames Research Center Moffett Field, CA United States)
Hull, Cynthia H.
Date Acquired
August 20, 2013
Publication Date
January 1, 1994
Subject Category
Optics
Meeting Information
Meeting: Vision Science and its Applications Topical Meeting
Location: Santa Fe, NM
Country: United States
Start Date: February 2, 1995
End Date: February 7, 1995
Funding Number(s)
PROJECT: RTOP 505-64-53
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

Available Downloads

There are no available downloads for this record.
No Preview Available