Face Detection and Status Analysis Algorithms in Day and Night Enivironments

被引：0
作者：
Gong, Do-Hyun [1 ]
Kwak, Keun-Chang [1 ]
机构：
[1] Chosun Univ, Dept Control & Instrumentat Engn, Gwangju 501759, South Korea
来源：
2017 4TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATICS, CONCEPTS, THEORY, AND APPLICATIONS (ICAICTA) PROCEEDINGS | 2017年
关键词：
face detection; eye detection; spatial correlation; driver drowsiness determination;
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：
In this paper, we propose an analysis method of drowsiness status of a driver from the opening and closing of eye. For this purpose, eyes, nose and mouth are detected to improve the area of interest using the spatial correlation in the existing ViolaJones algorithm. Then, histogram equalization is performed for detection at night driving, and drowsiness status of the driver data with the accumulation value through opening and closing of eye using SVM (Support Vector Machine) and PERCLOS (Percentage Closure of Eyes). The experimental result using Caltect face database showed that the detection rate of two eyes is increased respectively. In conclusion, the proposal method outperformed the current method in performance result.
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页数：4
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