Face detection and status analysis algorithms in day and night enivironments

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 Viola-Jones 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.