A robust and efficient face tracker for driver inattention monitoring system

Author

Dong, Yanchao ; Hu, Zhencheng ; Zhou, Yufeng ; Uchimura, Keiichi ; Murayama, Nobuki

Author_Institution

Grad. Sch. of Sci. & Technol., Kumamoto Univ., Kumamoto, Japan

fYear

2011

fDate

21-25 June 2011

Firstpage

1212

Lastpage

1217

Abstract

For the application of Driver Inattention Monitoring System this paper propose a zero-order binocular EKF face tracker, which could estimate the face pose, the eyeball yaw & pitch, the eyelids animation and the mouth & jaw animation as well as shape parameters. Experiments shows the proposed full detection and tracking loop could give more reliable result than monocular tracker and LM tracker with real time performance on a general purpose personal computer. It is also shown the tracker has tolerance against feature point detection error.

Keywords

Kalman filters; computer animation; eye; face recognition; general purpose computers; gesture recognition; pose estimation; LM tracker; driver inattention monitoring system; eyeball pitch; eyeball yaw; eyelids animation; face pose estimation; feature point detection error; general purpose personal computer; monocular tracker; mouth-jaw animation; tracking loop; zero-order binocular EKF face tracker; Animation; Driver circuits; Face; Facial features; Jacobian matrices; Shape; Tracking; 3D Face Tracking; Facial Feature Point; Inattention Detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation (WCICA), 2011 9th World Congress on

Conference_Location

Taipei

Print_ISBN

978-1-61284-698-9

Type

conf

DOI

10.1109/WCICA.2011.5970709

Filename

5970709