@inproceedings{34e806868fee4c619dd5d0d2e6e9bb8c,
title = "A low-cost real-time embedded vehicle counting and classification system for traffic management applications",
abstract = "This paper explores the feasibility of using a lowcost embedded ARM-based system for real-time vehicle detection, classification and counting through image processing algorithms with the aim of knowing information about vehicular traffic in different roads and highways to improve the management of mobility and the functioning of cities. This paper proposes the implementation of a low cost system to identify and classify vehicles using an Embedded ARM based platform (ODROID XU-4) with Ubuntu operating system. The algorithms used are based on the Open-source library (Intel OpenCV) and implemented in Python programming language. The experimentation carried out proved that the efficiency of the algorithm implemented was 95.35\%, but it can be improved by increasing the training sample.",
keywords = "ARM, Odroid-XU4, vehicle classification, vehicle detection",
author = "Pico, \{Lisseth C.\} and Benitez, \{Diego S.\}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Colombian Conference on Communications and Computing, COLCOM 2018 ; Conference date: 16-05-2018 Through 18-05-2018",
year = "2018",
month = sep,
day = "14",
doi = "10.1109/ColComCon.2018.8466734",
language = "Ingl{\'e}s",
series = "2018 IEEE Colombian Conference on Communications and Computing, COLCOM 2018 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Rodriguez, \{Diana Briceno\}",
booktitle = "2018 IEEE Colombian Conference on Communications and Computing, COLCOM 2018 - Proceedings",
}