The week's pick
Reseach Article
Automated Traffic Signal Prediction from Surveillance Videos
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 42 - Number 1 |
| Year of Publication: 2012 |
| Authors: Karthick.s, Deeban.b, S. Abirami |
10.5120/5660-7554
|
Karthick.s, Deeban.b, S. Abirami . Automated Traffic Signal Prediction from Surveillance Videos. International Journal of Computer Applications. 42, 1 ( March 2012), 40-45. DOI=10.5120/5660-7554
Abstract
The traffic signals available in the present are based on the static feed of time without considering the actual available traffic. This leads to a situation where vehicles wait unnecessarily in one of the lanes while the traffic flow is not up to the considerable amount in the other lane. This paper provides a system to monitor the traffic flow automatically in traffic signals where video cameras are fixed. The time feed is made dynamic and automatic by processing the live traffic videos. The time for the signal is determined by two main factors: based on the density of the vehicles and on the number of vehicles in the lane. These inputs are given to a proposed algorithm which determines the optimal time period for the signal.
References
- J. M. Odobez and P. Bouthemy, "Robust Multi resolution Estimation of Parametric Motion Models", J. Visual Comm. and Image Representation, vol. 6, pp. 348-365, 1995
- Brian L. Smith, Ph. D. , Assistant Professor, Department of Civil Engineering, University of Virginia , "Camera positioning and calibration techniques for integrating traffic surveillance video systems with machine-vision vehicle detection devices. " , Virginia transportation research council.
- Hongzhe Han, Zhiliang Wang, Jiwei Liu, Zhengxi Li, Bin Li, and Zhongtao Han, "Adaptive Background Modeling with Shadow Suppression", Intelligent Transportation Systems, pp 720-724, IEEE 2003.
- Sebastien Harasse, Laurent Bonnaud, Michel Desvignes. "Background estimation for dynamic video scenes" , pp 3519-3524, IEEE 2006.
- M. Vargas, Member, IEEE, S. L. Toral, F. Barrero, J. M. Milla, "An Enhanced Background Estimation Algorithm for Vehicle Detection in Urban Traffic Video" Proceedings of the 11th International IEEE, Conference on Intelligent Transportation Systems, Beijing, China, pp. 784-790, October 2008.
- Álvaro Bayona, Juan C. SanMiguel, José M. Martínez, "Stationary foreground detection using background subtraction and temporal difference in video surveillance", 2010 IEEE 17th International Conference on Image Processing, Hong Kong, pp. 4657-4660, September 2010.
- Erhan Ba?, A. Murat Tekalp, Fellow, IEEE, and F. Sibel Salman, "Automatic Vehicle Counting from Video for Traffic Flow Analysis", Proceedings of the 2007 IEEE Intelligent Vehicles Symposium Istanbul, Turkey, pp 392-397,June 2007.
- Chomtip Pornpanomchali, Thitinut Liamsanguan, Vissakorn Vannakosit, "Vehicular detection and counting from a video frame", Proceedings of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, Hong Kong, 30-31, pp. 356-361,August 2008.
- Jie Zhou, Senior Member, IEEE, Dashan Gao, and David Zhang, Senior Member, IEEE, "Moving Vehicle Detection for Automatic Traffic Monitoring" IEEE Transaction on vehicular technology, VOL. 56, NO. 1, pp 51-59, January 2007.
Index Terms
Keywords