基于模糊融合的驾驶员眼睛状态识别  

Drivers' eyes state recognition based on fuzzy fusion

作　　者：张恒[1] 吴晓娟[1] 董文会[1] 

机构地区：[1]山东大学信息科学与工程学院,山东济南250100

出　　处：《计算机应用》2007年第2期349-350,354,共3页journal of Computer Applications

基　　金：山东省自然科学基金资助项目(Y2002G04)

摘　　要：提出了一种基于模糊融合的驾驶员眼睛状态识别方法,利用多特征融合来判断眼睛状态,从而克服只利用单一特征识别的不完善、不准确以及不确定性等缺点。实验结果表明利用多特征融合方法的识别率明显高于只利用单一特征的识别率。This paper proposed a method for drivers＇ eyes state recognition based on fuzzy fusion by using multi-feature to recognize the states of eyes, which can overcome the disadvantage of using single feature which is half-baked, inexact and uncertain, The test result shows the recognition rate by using multi-feature fusion is much higher than that by using single feature.

关 键 词：模糊融合 眼睛识别 多特征融合 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]