Computer Vision for Driver Assistance by Mahdi Rezaei & Reinhard Klette

Author:Mahdi Rezaei & Reinhard Klette
Language: eng
Format: epub
Publisher: Springer International Publishing, Cham

© Springer International Publishing AG 2017

Mahdi Rezaei and Reinhard KletteComputer Vision for Driver AssistanceComputational Imaging and Vision4510.1007/978-3-319-50551-0_5

5. Driver Drowsiness Detection

Mahdi Rezaei1 and Reinhard Klette2

(1)Department of Computer Engineering, Qazvin Islamic Azad University, Qazvin, Iran

(2)Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland, New Zealand

5.1 Introduction

Face and eye detection is the key step in many face analysis systems [301, 310]. Since the early 2000s, researchers such as Viola and Jones [269], Jesorsky et al. [101], and Hsu et al. [205] have made important progress in model- and learning-based object detection methods. Current research aims at increasing the robustness of the detectors. Among the proposed face detection algorithms, boosting-based detection with efficient use of integral image, Haar-like features and a cascade of weak classifiers, have defined high-performance systems [154, 225, 311].

Following the well-known Viola–Jones face detector [271], many researchers have achieved further improvements in the performance of this detector. Currently, research in the field can be categorized into four subject areas: 1.Speeding up the learning process;

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