@inproceedings{9df727e0e39d480b9cc7a92793c8b201,
title = "Traffic parameter extraction using entropy measurements",
abstract = "This paper presents a vision-based intelligent transportation system that can perform real-time traffic parameter extraction. The entropy measurement, which is commonly adopted as an important feature to describe the degree of disorder in thermodynamics, is used as an underlying feature in this work. Based on an entropy measurement, a number of important traffic parameters, such as traffic flow and space mean speed can he determined in real time. The experimental results strongly support that the proposed system is indeed superb.",
author = "Hsu, {Wei Leih} and Liao, {Hong Yuan Mark} and Jeng, {Bor Shenn} and Fan, {Kuo Chin}",
note = "Publisher Copyright: {\textcopyright} 2002 IEEE.; 5th IEEE International Conference on Intelligent Transportation Systems, ITSC 2002 ; Conference date: 03-09-2002 Through 06-09-2002",
year = "2002",
doi = "10.1109/ITSC.2002.1041197",
language = "???core.languages.en_GB???",
series = "IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "106--111",
editor = "Der-Horng Lee and Dipti Srinivasan and Cheu, {Ruey Long}",
booktitle = "IEEE 5th International Conference on Intelligent Transportation Systems, ITSC 2002 - Proceedings",
}