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Authors: Rafael A. Berri 1 ; Alexandre G. Silva 1 ; Rafael S. Parpinelli 1 ; Elaine Girardi 1 and Rangel Arthur 2

Affiliations: 1 Santa Catarina State University (UDESC), Brazil ; 2 University of Campinas (Unicamp), Brazil

Keyword(s): Driver Distraction, Cell Phones, Machine Learning, Support Vector Machines, Skin Segmentation, Computer Vision, Genetic Algorithm.

Related Ontology Subjects/Areas/Topics: Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Segmentation and Grouping

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
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 (VISIGRAPP 2014) - Volume 1: VISAPP; ISBN 978-989-758-004-8; ISSN 2184-4321, SciTePress, pages 411-418. DOI: 10.5220/0004684504110418

@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 (VISIGRAPP 2014) - Volume 1: VISAPP},
year={2014},
pages={411-418},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004684504110418},
isbn={978-989-758-004-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 1: VISAPP
TI - A Pattern Recognition System for Detecting Use of Mobile Phones While Driving
SN - 978-989-758-004-8
IS - 2184-4321
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
PB - SciTePress