@article{ref1,
title="Automated data collection and safety analysis at intersections based on a novel video processing system",
journal="Transportation research record",
year="2019",
author="Zhang, Qiuchen and Yang, Zhen and Sun, Dazhi",
volume="2673",
number="4",
pages="136-144",
abstract="A novel video-based system is presented which collects trajectories and motion parameters of all objects at intersections. First, a modified ViBe method is used to extract the foreground of moving objects. Then, an object-point-contour matching approach is developed for pairing, tracking, and generating trajectories. Finally, raw trajectories are corrected through post-processing and motion parameters are estimated after object classification. This system demonstrates better performance while tracking tardy and shadowed objects compared with previous studies. The accuracies of 86% and 91% are obtained for traffic counts and velocity validation, respectively. This paper also presents a sample safety analysis using traffic conflict technology to demonstrate the possible implementation for traffic management and safety analysis.<p /> <p>Language: en</p>",
language="en",
issn="0361-1981",
doi="10.1177/0361198119838979",
url="http://dx.doi.org/10.1177/0361198119838979"
}