Design on Video-Based Automatic Detecting and Recording System of Vehicles for Violation of Traffic Signal

Abstract:

With the social development and technological progress, automatic detecting and recording system of cars for violation of traffic signal, as an important part of intelligent transportation systems, is entering the stage of full implementation. For the dependence on external systems, inconvenience of construction and maintenance, and poor flexibility of the traditional automatic detecting and recording system based on magnetic induction coil, the introduction of video-based detecting and recording system of cars for violation of traffic signal is present. In the video detection, the detection of illegal vehicles is completed by virtual coil detection algorithm based on regional changes. This system is simple, requiring only the camera installed in intersection to capture video, and junctions control terminal. At the same time, its process is easy to implement, and has a huge cost-effective.

• Periodical: Applied Mechanics and Materials (Volumes 543-547)
• Pages: 1022-1025
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.543-547.1022
• Online since: March 2014
• Authors: Wei Zhao*, Wen Juan Huang, Jian Yu Gao, Lin Zhang
• Keywords: Vehicle Detection, Video Processing, Violation of Traffic Signal, Virtual Loop Detector

References

[1] Wang Qin, Huang Shan, Zhang Hongbin, Yang Quan, Zhang Jianjun. Traffic Incident Detection System Based on Video Image Processing[J]. Journal of Computer Applications, 2008(07)( in Chinese).

DOI: 10.3724/sp.j.1087.2008.01886

[2] Stringa E, Regazzoni C S. Real-time Video-shot Detection for Scene Surveillance Applications. IEEE Transactions on Image Processing. (2000).

DOI: 10.1109/83.817599

[3] Xu Yimei, Guo Baolong, Zhang Jin. Moving Objects Detection Algorithm Based on Pixel Classification[J]. Computer Engineering, 2008(23)( in Chinese).

[4] Prischow G, J unghans G. Tomas rodriguez. Adaptive Real-time Segmentation in Traffic Scenes. Machine Graphics & Vision. (2004).

[5] Zhang Hui, Dong Yuning. Survey on Video Based Vehicle Detection Algorithms[J]. Journal of Nanjing University of Posts and Telecommunications (Natural Science). 2007(3) (in Chinese).

[6] Gianluca Bailo, Massimo Bariani, Paivi Ijas, Marco Raggio. Background Estimation with Gaussian distribution for Image Segmentation. IEEE International Workshop on Measurement Systems for Homeland Security, Contraband Detection and Personal Safety. (2005).

DOI: 10.1109/mshs.2005.1502544

[7] A. Leone, C. Distante, F. Buccolieri. A texture-based approach for shadow detection. Proceedings IEEE Conference on Advanced video and Signal Based Surveillance. (2005).

DOI: 10.1109/avss.2005.1577297