Driver Inattention Detection

  • Mahdi Rezaei
  • Reinhard Klette
Part of the Computational Imaging and Vision book series (CIVI, volume 45)


This chapter mainly proposes a comprehensive method for detecting driver’s distraction and inattention. We introduce an asymmetric appearance-modelling method and an accurate 2D-to-3D registration technique to obtain the driver’s head pose, yawing detection, and head-nodding detection. Chapter  5 and this chapter present the first major objective of this book’s focus on “driver behaviour” (i.e. driver drowsiness and distraction detection). The final objective of this book is to develop an ADAS that correlates driver’s direction of attention to the road hazards, by analyzing both simultaneously. This is presented in Chap.  8


Face Model Face Shape Texture Model Active Appearance Model Fermat Point 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Mahdi Rezaei
    • 1
  • Reinhard Klette
    • 2
  1. 1.Department of Computer EngineeringQazvin Islamic Azad UniversityQazvinIran
  2. 2.Department of Electrical and Electronic EngineeringAuckland University of TechnologyAucklandNew Zealand

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