一种基于模糊逻辑的实用睡意检测方法  

A PRACTICAL METHOD FOR DROWSINESS DETECTION BASED ON FUZZY LOGIC

作　　者：刘瑾奕[1] 张冬茉[1] 申丽萍[1] 

机构地区：[1]上海交通大学电子信息与电气工程学院,上海200240

出　　处：《计算机应用与软件》2008年第4期182-184,共3页Computer Applications and Software

摘　　要：提出一种基于普通摄像头快速有效的人眼定位和睡意检测方法,对光照、姿势和背景都具有较好的鲁棒性。首先从USB摄像头截取头肩部图像,经过光照补偿、运动检测和肤色处理粗定位人脸区域,再根据眼睛亮度、色度信息,数学形态学处理将眼部特征最大化,最后使用模糊逻辑筛选候选眼睛块,Hough圆检测判定眼睛状态。A fast eye location and drowsiness detection method with robustness in various illumination,gestures and intricate backgrounds is presented. Firstly,the images of head and shoulder are acquired from common USB camera. Then,processes of illumination compensation, motion detection and skin color segmentation are carried out, and a rough face area is obtained. The eye features are extracted based on eye luminance and chroma with the use of mathematical morphologic processing. Finally,the candidate eye blocks are filtered by fuzzy logic,and the eye state is detected and judged by Hough circle.

关 键 词：眼睛特征提取 眼睛状态检测 睡意检测 模糊逻辑 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP18[自动化与计算机技术—计算机科学与技术]