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Automatic Detection of Camera Translation in Eye Video Recordings using Multiple Methods
Author(s) -
KARMALI FAISAL,
SHELHAMER MARK
Publication year - 2005
Publication title -
annals of the new york academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.712
H-Index - 248
eISSN - 1749-6632
pISSN - 0077-8923
DOI - 10.1196/annals.1325.047
Subject(s) - computer vision , artificial intelligence , headset , artifact (error) , eye tracking on the iss , computer science , pixel , eye tracking , eye movement , translation (biology) , movement (music) , video camera , image processing , pupil , software , tracking (education) , image (mathematics) , optics , biochemistry , chemistry , philosophy , messenger rna , gene , programming language , aesthetics , physics , psychology , telecommunications , pedagogy
A bstract : 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.