Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

An Inexpensive Vision-Based System to Accurately Detect EOR for Automobile Safety

Author : A.Sri Lakshmi 1 D.Shekar Goud 2

Date of Publication :9th November 2017

Abstract: Distracted driving is one of the main causes of vehicle collisions in the United States. 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; and 3) 3-D geometric reasoning to detect EOR. 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 the system computes head pose and gaze direction

Reference :

    1. [Online]. Available:http://http: //www .distraction .gov /content/get-hefacts/facts-and-statistics.html
    2. [Online]. Available:http://www.seeingmachines.com
    3. [Online]. Available: http://www.smarteye.se
    4. [Online]. Available: http://www.smivision.com
    5. C. Ahlstrom, K. Kircher, and A. Kircher, ―A gazebased driver distraction warning system and its effect on visual behavior,‖ IEEE Trans. Intell. Transp. Syst., vol. 14, no. 2, pp. 965–973, Jun. 2013
    6. A. Nabo, ―Driver attention—Dealing with drowsiness and distraction,‖ Smart Eye, Gothenburg, Sweden, Tech. Rep., 2009

Recent Article