微型机与应用Issue(5)：40-42,46,4.
基于DSP的改进疲劳驾驶检测系统
Improved fatigue driving detection system based on TMS320DM642
向飞 1廖亚风 1何小海1
作者信息
- 1. 四川大学 电子信息学院图像信息研究所，四川 成都 610064
- 折叠
摘要
Abstract
For the application of the vehicular fatigue driving detection, it has designed the fatigue driving detection system based on TMS320DM642 embedded platform. First, it has used the skin color segmention in YCbCr space to build the eye detecting region. Then it has used the human eye-based improved hybrid projection algorithm to locate the eye region. And then it has detected the dual-state of eyes by the height of them. And finally judged the fatigue degree by PERLCLOS algorithm.The experimental results demonstrate that this system has high accuracy and good realtimeness and can meet the needs of vehicular fatigue driving detection.关键词
TMS320DM642/疲劳驾驶检测/混合投影/PERCLOS 算法Key words
TMS320DM642/fatigue driving detection/hybrid projection/PERCLOS algorithm分类
信息技术与安全科学引用本文复制引用
向飞,廖亚风,何小海..基于DSP的改进疲劳驾驶检测系统[J].微型机与应用,2014,(5):40-42,46,4.
