Scipediacontent: Scipediacontent moved page Draft Content 125994051 to Trivedi Murphy-Chutorian 2008a

2021-02-03T17:18:02Z

Scipediacontent moved page Draft Content 125994051 to Trivedi Murphy-Chutorian 2008a

Scipediacontent: Created page with " == Abstract == Driver distraction and inattention are prominent causes of automotive collisions. To enable driver assistance systems to address these problems, we require ne..."

2021-02-03T17:17:59Z

Created page with " == Abstract == Driver distraction and inattention are prominent causes of automotive collisions. To enable driver assistance systems to address these problems, we require ne..."

New page

== 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.

== Original document ==

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

* [http://cvrr.ucsd.edu/publications/2008/MurphyChutorian_Trivedi_IV08.pdf http://cvrr.ucsd.edu/publications/2008/MurphyChutorian_Trivedi_IV08.pdf]

* [http://cvrr.ucsd.edu/publications/2008/MurphyChutorian_Trivedi_IV08.pdf http://cvrr.ucsd.edu/publications/2008/MurphyChutorian_Trivedi_IV08.pdf],
: [http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004621320 http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004621320],
: [https://cvrr.ucsd.edu/publications/2008/MurphyChutorian_Trivedi_IV08.pdf https://cvrr.ucsd.edu/publications/2008/MurphyChutorian_Trivedi_IV08.pdf],
: [https://ieeexplore.ieee.org/xpl/abstractAuthors.jsp?arnumber=4621320 https://ieeexplore.ieee.org/xpl/abstractAuthors.jsp?arnumber=4621320],
: [https://academic.microsoft.com/#/detail/2172220459 https://academic.microsoft.com/#/detail/2172220459]

* [http://xplorestaging.ieee.org/ielx5/4607789/4621124/04621320.pdf?arnumber=4621320 http://xplorestaging.ieee.org/ielx5/4607789/4621124/04621320.pdf?arnumber=4621320],
: [http://dx.doi.org/10.1109/ivs.2008.4621320 http://dx.doi.org/10.1109/ivs.2008.4621320]

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Trivedi Murphy-Chutorian 2008a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 125994051 to Trivedi Murphy-Chutorian 2008a

Scipediacontent: Created page with " == Abstract == Driver distraction and inattention are prominent causes of automotive collisions. To enable driver assistance systems to address these problems, we require ne..."