Abstract

Driver distraction and inattention are prominent causes of automotive collisions. To enable driver assistance systems to address these problems, we require new sensing approaches to infer a driverpsilas focus of attention. In this paper, we present a new 3D tracking algorithm and integrate it into HyHOPE, a real-time (30 fps) hybrid head orientation and position estimation system for driver head tracking. With a single video camera, the system continuously tracks the head in six degrees-of-freedom, initializing itself automatically with separate modules for head detection and head pose estimation. The tracking module provides a fine estimate of the 3D motion of the head, using a new appearance-based algorithm for 3D model tracking by particle filtering in an augmented reality environment. We describe our implementation, which utilizes OpenGL-optimized graphics hardware to efficiently compute particle samples in real-time. To quantitatively evaluate the accuracy of our system, we compare its estimation results to a marker-based cinematic motion capture system installed in an automotive testbed. We evaluate the system on real daytime and nighttime drives with drivers of varying ages, race, and sex.


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The different versions of the original document can be found in:

http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004621320,
https://cvrr.ucsd.edu/publications/2008/MurphyChutorian_Trivedi_IV08.pdf,
https://ieeexplore.ieee.org/xpl/abstractAuthors.jsp?arnumber=4621320,
https://academic.microsoft.com/#/detail/2172220459
http://dx.doi.org/10.1109/ivs.2008.4621320
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Published on 01/01/2008

Volume 2008, 2008
DOI: 10.1109/ivs.2008.4621320
Licence: CC BY-NC-SA license

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