loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

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

ISBN: 978-989-758-004-8

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.

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.163.22.209

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 - Volume 2: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-004-8, 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 - Volume 2: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={411-418},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004684504110418},
isbn={978-989-758-004-8},
}

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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.