A Vehicle Counting Algorithm Using Foreground Detection in Traffic Videos

DOI

10.2991/icmt-13.2013.29How to use a DOI?

Keywords

Vehicle counting •traffic information •foreground detection.

Abstract

Vehicle counting in traffic videos plays an essential role in traffic surveillance system. It can provide some important traffic information such as congestion level and statistical analysis of traffic flow. In this paper, a novel vehicle counting strategy, which is based on foreground detection algorithm in videos, is proposed. Two advantages are contributed by our method. First, it is cost-saving as no additional hardware devices are required. Second, the influence to performance caused by weather variations is eliminated by the use of foreground detection technique. Finally, We compare our method with the state-of-the-art methods, and the experimental results clearly demonstrate the effectiveness of our method on complex real world traffic videos.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Zhang Linbo
AU  - Wang Feng
AU  - Hu Ming
AU  - Shi Lei
AU  - Liang Long
PY  - 2013/11
DA  - 2013/11
TI  - A Vehicle Counting Algorithm Using Foreground Detection in Traffic Videos
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 232
EP  - 239
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.29
DO  - 10.2991/icmt-13.2013.29
ID  - Linbo2013/11
ER  -