Real-time traffic parameter extraction using entropy

W. L. Hsu, H. Y.M. Liao, B. S. Jeng, K. C. Fan

研究成果: 雜誌貢獻期刊論文同行評審

43 引文 斯高帕斯(Scopus)

摘要

A vision-based traffic monitoring system that can perform real-time traffic parameter extraction is proposed. 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, space mean speed and traffic queue, can be determined in real time. The experimental results clearly show that the proposed system is highly effective.

原文???core.languages.en_GB???
頁(從 - 到)194-202
頁數9
期刊IEE Proceedings: Vision, Image and Signal Processing
151
發行號3
DOIs
出版狀態已出版 - 6月 2004

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