Open AccessIris-Eyelid Separability Filter for Irises Tracking
Author(s) -
Qian Chen,
Kohei Mastumoto,
Haiyuan Wu
Publication year - 2013
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2013.09.188
Subject(s) - computer science , computer vision , artificial intelligence , iris (biosensor) , eye tracking , filter (signal processing) , eyelid , zoom , monocular , particle filter , tracking (education) , iris recognition , biometrics , optics , lens (geology) , medicine , psychology , pedagogy , surgery , physics
This paper describes a sophisticated method to track irises in a monocular video sequence with a particle lter that uses a newly proposed Iris-Eyelid separability lter (IESF). In order to reduce the inuence of eyelids and to cope with the variance of the appearance of eyes of different people, we propose an Iris-Eyelid separability lter (IESF), and use it to estimate the likelihood of hypotheses in the particle lter. We conrmed that our method has the ability of tracking various eyes for different people whose head motion including translation, rotation and zoom, even when people are wearing glasses. Through the comparative experiments of the IESF and the conventional circular separability lter (CCSF), we conrmed that our iris tracking algorithm is more robustly
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