Design of Vehicle Monitoring Software Based on Video

Abstract:

With the rapid development of multimedia technology and internet, video surveillance technology has been widely applied to various fields of people's daily life, and it is important to study the application of video surveillance in intelligent traffic . Object: The design is for traffic video monitoring, and the traffic lights can be controlled through the video processing technology. Studying the relevant information obtained from the traffic video, the traffic lights can be controlled. Step: First, use the improved frame difference method, which is called as finite difference method, to pick up moving vehicle. Then, remove the noise using dilation and corrosion algorithm, which belong to mathematical morphology operation. Finally, count the vehicle data using the virtual loop method, and return the traffic flow information which acts as reference information of traffic lights controlling.

• Periodical: Applied Mechanics and Materials (Volumes 462-463)
• Pages: 274-279
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.462-463.274
• Online since: November 2013
• Authors: Wei Wei*, Hai Jian Su, Zhong Qin Hu, Yu Jing Zhou, Jiang Yin, Dong Hai Liu
• Keywords: Traffic Flow, Video Processing Technology, Video Surveillance, Virtual Loop Method

References

[1] Fuqiang Liu, Xinhong Wang, Chunlin Song: Digital video image processing and communication, Beijing: China Machine Press, 2009. 12: -8(In Chinese).

[2] Heng Wei, Qingyan Yang, Moghorabi a. Improve applicability of ITS-generated data via prioritizing positioning of surveillance devices over a road network[J]. Proceeding of Intelligent Transportation Systems. 2003: 590-597.

DOI: 10.1109/itsc.2003.1252021

[3] Meier R., Harrington A. Cahill V. A framework for integrating existing and novel intelligent transportation systems[J]. Proceeding of Intelligent Transportation System. 2005: 153-159.

DOI: 10.1109/itsc.2005.1520124

[4] Jianping Wu, Binglei Jiang, Bo Wang, British intelligence traffic development present situation and the trend[C]. The third session of Chinese intelligent transportation conference proceedings 2007(In Chinese).

[5] Wei Guo, Yanyan Jin, Intelligent transportation in different countries in our country present situation and the trend of the development of intelligent transportation [J]. Science and technology communication. 2009(5): 41-42(In Chinese).

[6] Li cai Yang, Urban road traffic intelligent control strategies [D]. Shandong University. 2005. ( In Chinese).

[7] Fengying Xie, Danpei Zhao, Visual C++ digital image processing [M]. BeijingElectronic Industry Press，2008. 9: 2-483(In Chinese).

[8] Yongquan Xia, Weili Li, Yong Gan, Suzhi Zhang, Intelligent video monitoring of moving target detection technology research [J]. communication technology. 2009 stage, the 42nd volume, total 210 : 185-187 (In Chinese ).

[9] Alan Conrad Bovik. Handbook Of Image And Video Processing[M]. Academic Press, 2005: 384-385.