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Iris tracking using extended object tracking

 
: Dunau, Patrick; Beyerer, Jürgen

Institute of Electrical and Electronics Engineers -IEEE-; International Society of Information Fusion -ISIF-; IEEE Aerospace and Electronic Systems Society -AESS-:
19th International Conference on Information Fusion, FUSION 2016. Proceedings : Heidelberg, 5-8 July 2016
Piscataway, NJ: IEEE, 2016
ISBN: 978-0-9964-5274-8
ISBN: 978-1-5090-2012-6
S.1735-1742
International Conference on Information Fusion (FUSION) <19, 2016, Heidelberg>
Englisch
Konferenzbeitrag
Fraunhofer IOSB ()

Abstract
In the emerging field of hands free computer control the human eye has an extraordinary important role to play. In order to detect commands and actions communicated by the human eye, meaningful features are sought for. The iris provides high contrast, when compared to the sclera. Due to this fact the segmentation of the iris in the image of a face is fairly easy. This paper proposes an algorithm based on extended object tracking to trace the iris of the human eye. Based on a segmentation algorithm to find the boundary of the iris and together with simple model of iris motion an Unscented Kalman Filter (UKF) is used to track the iris. The measurements are incorporated using a greedy association model (GAM) to relate the measurement points to the extended object (the iris). We will show that the iris tracking algorithm is reliable and stable, even in presence of occlusions and reflections, e.g. when the person wears glasses.

: http://publica.fraunhofer.de/dokumente/N-422188.html