Real-time traffic congestion detection based on frame difference function and virtual loop
Fei Liu, Zhiyuan Zeng, Rong Jiang
Available Online December 2015.
- 10.2991/jimet-15.2015.125How to use a DOI?
- traffic congestion detection; image processing; intelligent transport system
Traffic congestion has become one of the major concerns of policy-makers in modern metropolises. Accurate real-time traffic congestion alert is of great importance for alleviating congestion. In this paper, we propose a fast, unsupervised, video-based approach using average frame difference function (AFDF) and virtual loop to identify real-time traffic congestion. This novel method calculates the frame differences of specified order in a loop area to determine the speed of the vehicles. The proposed method has been integrated in the intelligent transport system (ITS) of Wuhan City, China for testing, and results show that the method is efficient and robust for real-time traffic congestion detection.
- © 2015, 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/).
Cite this article
TY - CONF AU - Fei Liu AU - Zhiyuan Zeng AU - Rong Jiang PY - 2015/12 DA - 2015/12 TI - Real-time traffic congestion detection based on frame difference function and virtual loop BT - Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference PB - Atlantis Press SP - 670 EP - 674 SN - 2352-538X UR - https://doi.org/10.2991/jimet-15.2015.125 DO - 10.2991/jimet-15.2015.125 ID - Liu2015/12 ER -