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

页码：241 / 244

页数：4

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