Authors : Pooja S. Pingale ,Priyanka Gote , Radhika Rai
Abstract- Distracted driving is one of the main causes of vehicle collisions. Passively monitoring a driver’s activities constitutes the basis of an automobile safety system that can potentially reduce the number of accidents by estimating the driver’s focus of attention. This paper proposes an inexpensive vision-based system to accurately detect Eyes Off the Road (EOR). The system has three main components: 1) robust facial feature tracking; 2) head pose and gaze estimation. From the video stream of a camera installed on the steering wheel column, our system tracks facial features from the driver’s face. Using the tracked landmarks and a 3-D face model, the system computes head pose and gaze direction. The head pose estimation algorithm is robust to nonrigid face deformations due to changes in expressions. Finally, using a 3-D geometric analysis, the system reliably detects EOR. The proposed system does not require any driver-dependent calibration or manual initialization and works in real time (25 FPS), during the day and night. Our system is proposed to achieved above 90% EOR accuracy.
