Statistical models of appearance for eye tracking and eye-blink detection and measurement

Author

Bacivarov, Ioana ; Ionita, Mircea ; Corcoran, Peter

Author_Institution

Dept. Electron. Eng., Nat. Univ. of Ireland, Galway

Volume

54

Issue

3

fYear

2008

fDate

8/1/2008 12:00:00 AM

Firstpage

1312

Lastpage

1320

Abstract

A statistical active appearance model (AAM) is developed to track and detect eye blinking. The model has been designed to be robust to variations of head pose or gaze. In particular we analyze and determine the model parameters which encode the variations caused by blinking. This global model is further extended using a series of sub-models to enable independent modeling and tracking of the two eye regions. Several methods to enable measurement and detection of eye-blink are proposed and evaluated. The results of various tests on different image databases are presented to validate each model.

Keywords

eye; feature extraction; object detection; statistical analysis; tracking; digital imaging; eye tracking; eye-blink detection; eye-blink measurement; head pose; image databases; independent modeling; statistical active appearance model; statistical models; Active appearance model; Application software; Digital images; Eyes; Face detection; Facial animation; Head; Image databases; Robustness; Testing; eye blinking, eye tracking, active appearance model, digital imaging;

fLanguage

English

Journal_Title

Consumer Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0098-3063

Type

jour

DOI

10.1109/TCE.2008.4637622

Filename

4637622