Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/87224
Type: Artigo de evento
Title: A Pattern Recognition System For Detecting Use Of Mobile Phones While Driving
Author: Berri R.A.
Silva A.G.
Parpinelli R.S.
Girardi E.
Arthur R.
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. Copyright © 2014 SCITEPRESS - Science and Technology Publications. All rights reserved.
Editor: SciTePress
Rights: fechado
Identifier DOI: 
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-84906904556&partnerID=40&md5=6fc50812c47f5627b78641222ad7d97b
Date Issue: 2014
Appears in Collections:Unicamp - Artigos e Outros Documentos

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