The Research of Image Processing in Intelligent Transportation System

Article Preview

Abstract:

With the rapid development of economy, the role of transportation is getting more and more highlighted. It has a great increase of various transport and private vehicles which will be followed by the problems such as congestions, accidents and the pollution; however, it is infeasible to ease the traffic pressure by improving the road infrastructure only. How to use modern science and technology and schedule transportation sufficiently and reasonably to avoid the above problems is the main purpose for this research. This paper took advantage of the background-difference method [1-to get the vehicle count in accordance with MATLAB image processing technology.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2692-2696

Citation:

Online since:

March 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] William K. Pratt. Digital image processing: PIKS Scientific inside, Wiley-Interscience, (2007).

Google Scholar

[2] John C. Russ. The image processing handbook, CRC/Taylor and Francis, (2007).

Google Scholar

[3] Wieland, Richard J and Purser, Lara Baughman: Intelligent transportation systems, Transportation in the New Millennium, (2000).

Google Scholar

[4] Taniguchi, Eiichi and Shimamoto, Hiroshi: Intelligent transportation system based dynamic vehicle routing and scheduling with variable travel times, Transportation Research Part C: Emerging Technologies, (2004).

DOI: 10.1016/j.trc.2004.07.007

Google Scholar

[5] Gonzalez, Rafael C and Woods, Richard E and Eddins, Steven L: Digital image processing using MATLAB, Gatesmark Publishing Knoxville, (2009).

Google Scholar

[6] Sun, Huan and Shang, Xufeng and Zhu, Zhaolong and Zhang, Hequan: Performance Analysis for the Frame Difference and Background Difference Methods in the Traffic Surveillance System, Dianzi Keji- Electronic Science and Technology, (2012).

Google Scholar

[7] Zhu, Zhi and Wu, Cuichen and Liu, Haipeng and Zou, Yuan and Zhang, Xiaoling and Kang, Huaizhi and Yang, Chaoyong James and Tan, Weihong: An Aptamer Cross-Linked Hydrogel as a Colorimetric Platform for Visual Detection, Angewandte Chemie, (2010).

DOI: 10.1002/ange.200905570

Google Scholar