Title :
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
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;
Conference_Titel :
Vehicular Electronics and Safety (ICVES), 2011 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-0576-2
DOI :
10.1109/ICVES.2011.5983822
