Head Pose and Gaze Direction Tracking for Detecting a Drowsy Driver

被引：0
|
作者：
Choi, In-Ho [1 ]
Kim, Yong-Guk [1 ]
机构：
[1] Sejong Univ, Dept Comp Engn, Seoul, South Korea
来源：
2014 INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING (BIGCOMP) | 2014年
关键词：
Driver Drowsiness Detection; Gaze Direction; Eye Blinking; Head Pose Estimation;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposes a system that uses gaze direction tracking and head pose estimation to detect drowsiness of a driver. Head pose is estimated by calculating optic flow of the facial features, which are acquired with a corner detection algorithm. Analysis of the driver's head behavior leads to three moving components: nodding, shaking, and tilting. To track the gaze direction of the driver, we trace the center point of the pupil using CDF analysis and estimate the frequency of eye-movement.
引用
收藏
页码：241 / 244
页数：4
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