Driver gaze tracker using deformable template matching

Author

Wang, Wei ; Huang, Yingping ; Zhang, Renjie

Author_Institution

Dept. of Opt.-Electr. & Comput., Univ. of Shanghai for Sci. & Technol., Shanghai, China

fYear

2011

fDate

10-12 July 2011

Firstpage

244

Lastpage

247

Abstract

In driver assistance system, human eye gaze direction is an important feature described some driver´s situation such as distraction and fatigue. This paper proposes a method to track driver´s gaze direction by using deformable template matching. The method is divided into three steps: first, identifying the face area. Second, localizing the eye area. Finally, combining the eye region model and sight algorithm to determine the driver´s gaze direction. Experimental results show that this method can effectively identify human´s eye and track gaze motion in a real-time running basis.

Keywords

driver information systems; eye; face recognition; image matching; object tracking; deformable template matching; distraction; driver assistance system; driver gaze direction; driver gaze tracker; driver situation; eye area; eye region model; face area identification; fatigue; human eye gaze direction; sight algorithm; Face; Glass; Humans; Image processing; Tracking; Training; Vehicles; deformable template; eye detection; eye regional model; face detection; gaze direction;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Electronics and Safety (ICVES), 2011 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4577-0576-2

Type

conf

DOI

10.1109/ICVES.2011.5983822

Filename

5983822