Robust Iris Localization and Tracking based on Constrained Visual Fitting

Author

Colombo, Carlo ; Comanducci, Dario ; Del Bimbo, Alberto

Author_Institution

Dipt. di Sistemi e Inf., Univ. degli Studi di Firenze, Firenze, Italy

fYear

2007

fDate

10-14 Sept. 2007

Firstpage

454

Lastpage

460

Abstract

A robust iris localization and tracking algorithm based on computer vision is presented. The iris localization algorithm acts as a bootstrap for the tracking algorithm, providing it with a set of multiple hypotheses to restart from in the case of a tracking failure. Tracking is performed with a RANSAC-like robust method for ellipse fitting that incorporates search constraints so as to increase the overall accuracy with respect to the standard RANSAC approach. Experimental results show that the algorithm is fast, accurate and robust enough for applications in the field of human-machine interaction, being particularly suitable for users with severe motor disabilities.

Keywords

biometrics (access control); computer vision; handicapped aids; human computer interaction; image recognition; random processes; tracking; RANSAC approach; computer vision; constrained visual fitting; disabled people; ellipse fitting; human-machine interaction; iris localization; tracking; Advertising; Computer vision; Electrodes; Iris; Lenses; Lighting; Man machine systems; Nervous system; Psychology; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Processing, 2007. ICIAP 2007. 14th International Conference on

Conference_Location

Modena

Print_ISBN

978-0-7695-2877-9

Type

conf

DOI

10.1109/ICIAP.2007.4362820

Filename

4362820