基于多种检测方法的驾驶疲劳检测系统  

Driving fatigue detection system based on multiple detection methods

作　　者：刘冰[1] LIU Bing(Department of Digital Information Technology,Zhejiang Technical Institute of Economic,Hangzhou,Zhejiang 310018,China)

机构地区：[1]浙江经济职业技术学院数字信息技术学院,浙江杭州310018

出　　处：《安防科技》2021年第9期65-65,共1页SAFETY & SECURITY TECHNOLOGY

摘　　要：本文建立了可定量化的动态面孔认知模型、提出了基于类人视觉系统的特征融合方法。并通过AdaBoost训练算法,结合改进CamShift算法实现了人眼跟踪;提出了一种判断眨眼和PERCLOS疲劳程度的频率的方法。In this paper,a quantifiable dynamic face recognition model is established,and a feature fusion method based on human like visual system is proposed.The eye tracking is realized by AdaBoost training algorithm and improved CamShift algorithm;A method to judge the frequency of blink and PERCLOS fatigue is proposed.

关 键 词：动态面孔认知 类人视觉系统 AdaBoost CamShift PERCLOS 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]