Driver Cell Phone Usage Detection from HOV/HOT NIR Images

  title={Driver Cell Phone Usage Detection from HOV/HOT NIR Images},
  author={Yusuf Artan and Orhan Bulan and Robert P. Loce and Peter Paul},
  journal={2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops},
Distracted driving due to cell phone usage is an increasingly costly problem in terms of lost lives and damaged property. Motivated by its impact on public safety and property, several state and federal governments have enacted regulations that prohibit driver mobile phone usage while driving. These regulations have created a need for cell phone usage detection for law enforcement. In this paper, we propose a computer vision based method for determining driver cell phone usage using a near… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 11 references

Aggregating Local Image Descriptors into Compact Codes

IEEE Transactions on Pattern Analysis and Machine Intelligence • 2012
View 12 Excerpts
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Face detection, pose estimation, and landmark localization in the wild

2012 IEEE Conference on Computer Vision and Pattern Recognition • 2012
View 7 Excerpts
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Sensing system development for hov/hot (high occupancy vehicle) lane monitoring

W. Daley, O. Arif, +5 authors D. Britton
Technical report, Georgia Department of Transportation, • 2011
View 1 Excerpt

Advanced offline statistical modeling of eye and non-eye patterns

N. Bouguila, R. I. Hammoud, D. Ziou
In Passive Eye Monitoring, • 2008
View 1 Excerpt

Driver distraction monitoring and adaptive safety warning systems

R. Hammoud, M. Smith, R. Dufour, D. Bakowski
In Proceedings of SAE Commercial Vehicles Engineering Congress and Exhibition, • 2008
View 1 Excerpt

An Automatic Vehicle Occupant Counting Algorithm Based on Face Detection

2006 8th international Conference on Signal Processing • 2006
View 1 Excerpt

Histograms of oriented gradients for human detection

2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) • 2005
View 1 Excerpt

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