Title :
A fast algorithm for measuring vehicle traffic parameters
Author :
Lee, Yu-Hua ; Lee, Yu-Tai
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Ching Yun Univ., Chingyun
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.
Keywords :
image sequences; road traffic; traffic engineering computing; transportation; intelligent transportation system; traffic image sequence; traffic information; traffic photography equipment; vehicle speed information; vehicle traffic parameters; Cybernetics; Machine learning; Vehicles; ITS; computer vision; image processing; intelligent trasportation system;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620934