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A fast algorithm for measuring vehicle traffic parameters

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Proceedings. International Conference on Machine Learning and Cybernetics

A fast algorithm for measuring vehicle traffic parameters

Content Provider	IEEE Xplore Digital Library
Author	Yu-Hua Lee Yu-Tai Lee
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci. & Inf. Eng., Ching Yun Univ., Chingyun (Yu-Hua Lee; Yu-Tai Lee)
Abstract	In this paper, we propose a algorithm which can extract traffic information from the images automatically. The main purpose lies in utilizing existing traffic photography equipment, cooperating with this system to get vehicle numbers and vehicle speed information. During the process of extracting traffic information, we utilize the traffic image sequence input from camera. By analyzing the pixelspsila difference between consecutive image frames, we can get the moving objectpsilas characteristics and count the quantity of the passing vehicles.
Starting Page	3061
Ending Page	3066
File Size	3216508
Page Count	6
File Format	PDF
ISBN	9781424420957
DOI	10.1109/ICMLC.2008.4620934
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Machine learning Cybernetics Conferences image processing computer vision intelligent trasportation system ITS
Content Type	Text
Resource Type	Article

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