Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2005-4-13
pubmed:abstractText
A concern with video eye movement tracking is that movement of the camera headset relative to the head creates an artifact of eye movement in pupil-detection software. We describe the development of, and compare the results of, three automatic image processing algorithms to measure camera movement. The best of the algorithms has an average accuracy of 1.3 pixels, equivalent to 0.49 deg with our eye tracking system.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0077-8923
pubmed:author
pubmed:issnType
Print
pubmed:volume
1039
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
470-6
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Automatic detection of camera translation in eye video recordings using multiple methods.
pubmed:affiliation
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21287, USA. Faisal@jhu.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S., Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural