@InProceedings{RT_AVSS_2012,
author = {Pletzer, Felix and Tusch, Roland and Böszörmenyi, Laszlo and Rinner, Bernhard},
booktitle = {Proceedings of the IEEE Conference on Advanced Vision and Signal-based Surveillance},
title = {Robust traffic state estimation on smart cameras.},
year = {2012},
address = {Piscataway (NJ)},
editor = {Porikli, Fatih and Wang, Liang and Maybank, Steve},
month = {sep},
pages = {434-439},
publisher = {IEEE},
abstract = {This paper presents a novel method for video-based traffic state detection on motorways performed on smart cameras. Camera calibration parameters are obtained from the known length of lane markings. Mean traffic speed is estimated from Kanade-Lucas-Tomasi (KLT) optical flow method using a robust outlier detection. Traffic density is estimated using a robust statistical counting method. Our method has been implemented on an embedded smart camera and evaluated under different road and illumination conditions. It achieves a detection rate of more than 95% for stationary traffic.},
language = {EN},
talktype = {none},
url = {
http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.63}
}