A Pattern Recognition System for Detecting Use of Mobile Phones While Driving
Rafael A. Berri, Alexandre G. Silva, Rafael S. Parpinelli, Elaine Girardi, Rangel Arthur
2014
Abstract
It is estimated that 80% of crashes and 65% of near collisions involved drivers inattentive to traffic for three seconds before the event. This paper develops an algorithm for extracting characteristics allowing the cell phones identification used during driving a vehicle. Experiments were performed on sets of images with 100 positive images (with phone) and the other 100 negative images (no phone), containing frontal images of the driver. Support Vector Machine (SVM) with Polynomial kernel is the most advantageous classification system to the features provided by the algorithm, obtaining a success rate of 91.57% for the vision system. Tests done on videos show that it is possible to use the image datasets for training classifiers in real situations. Periods of 3 seconds were correctly classified at 87.43% of cases.
DownloadPaper Citation
in Harvard Style
A. Berri R., G. Silva A., S. Parpinelli R., Girardi E. and Arthur R. (2014). A Pattern Recognition System for Detecting Use of Mobile Phones While Driving . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-004-8, pages 411-418. DOI: 10.5220/0004684504110418
in Bibtex Style
@conference{visapp14,
author={Rafael A. Berri and Alexandre G. Silva and Rafael S. Parpinelli and Elaine Girardi and Rangel Arthur},
title={A Pattern Recognition System for Detecting Use of Mobile Phones While Driving},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={411-418},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004684504110418},
isbn={978-989-758-004-8},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)
TI - A Pattern Recognition System for Detecting Use of Mobile Phones While Driving
SN - 978-989-758-004-8
AU - A. Berri R.
AU - G. Silva A.
AU - S. Parpinelli R.
AU - Girardi E.
AU - Arthur R.
PY - 2014
SP - 411
EP - 418
DO - 10.5220/0004684504110418