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Head Dynamic Analysis: A Multi-view Framework

  • Ashish Tawari
  • Moham M. Trivedi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8158)

Abstract

Analysis of driver’s head behavior is an integral part of driver monitoring system. In particular, head pose and dynamics are strong indicators of driver’s focus of attention. In this paper, we present a distributed camera framework for head pose estimation with emphasis on the ability to operate reliably and continuously. To evaluate the proposed framework, we collected a novel head pose dataset of naturalistic on-road driving in urban streets and freeways. As oppose to utilizing all the data collected during the whole ride where for large portion of the time driver is front facing, we use data during particular maneuvers typically involving large head deviation from frontal pose. While this makes the dataset challenging, it provides an opportunity to evaluate algorithms during non-frontal glances which are of special interest to driver safety. We conduct a comparative study between proposed multi-view based approach and single-view based approach. Our analyses show promising results.

Keywords

Facial Feature Head Orientation Lane Change Driver Safety Facial Feature Detection 
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-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Ashish Tawari
    • 1
  • Moham M. Trivedi
    • 1
  1. 1.University of CaliforniaSan DiegoUSA

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