졸음운전 판단을 위한 운전자 머리포즈 추정 및 눈 깜빡임 추적 시스템

This paper proposes the system that decides drowsiness state using head-pose estimation and eye-blink tracking of a driving person. The driver’s head-pose is estimated using POSIT Algorithm after tracking the head motion by the optical flow with a corner detection feature. The driver’s eye-blink traking is detected by using the Integral Projection Fuction(IPF). Drowsiness is detected by combining Head-pose estimation with eye-blink tracking in a data fusion method. Result, this system can be detected the drowsiness of the drivers in real time.