Detection of Driver's Mobile Phone Usage

被引：0
作者：
Yasar, Hayrullah [1 ]
机构：
[1] De La Salle Univ, Dept Elecron & Commun Engn, Manila, Philippines
来源：
2017 IEEE 9TH INTERNATIONAL CONFERENCE ON HUMANOID, NANOTECHNOLOGY, INFORMATION TECHNOLOGY, COMMUNICATION AND CONTROL, ENVIRONMENT AND MANAGEMENT (IEEE HNICEM) | 2017年
关键词：
Cascade Classifier; Object Detection; neural network; computer vision; cascade object detector; mobile phone usage detection of driver;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
While driving, mobile phone usage is dangerous that it may cause traffic accident. Detection and proof of usage should be done by a system. Anti-Distracted Driving Act that became a law last August 1, 2016 will now be enforced starting May 18, 2017 in the Philippines. So drivers may get penalized if they use mobile phone while driving. On this study it is intended to develop a neural network application that can detect mobile phone usage. Sample pictures used for the system training and testing. Positive pictures and negative pictures were used to train the Cascade Object Detector on MATLAB.
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页数：4
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