Volume 7 Number 4 (Apr. 2012)
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JSW 2012 Vol.7(4): 741-744 ISSN: 1796-217X
doi: 10.4304/jsw.7.4.741-744

Research of Vehicle Type Recognition System Based on Audio Video Interleaved Flow for Toll Station

Wei Zhan and Zhiqing Luo
School of Computer Science, China University of Geosciences,Wuhan, HuBei, China

Abstract—With technology of digital image recognition, the data frames include vehicle’s digital image can be detected automatically from an Audio Video Interleaved (AVI) File, and vehicle type will be recognized automatically. The system consists of four modules: Reading AVI file and decomposing it into digital image frames; Motion detection; Vehicle’s digital image processing; Module of vehicle type classification. In particularly, algorithm of vehicle recognition through counting number of black pixels included in vehicle body contour is one innovation algorithm. Experiment on actual AVI files shows: the system design is simple and effective.

Index Terms—Vehicle Type Recognition; Background Image Subtraction; Anti-color Processing on image; Threshold Segmentation.

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Cite: Wei Zhan and Zhiqing Luo, "Research of Vehicle Type Recognition System Based on Audio Video Interleaved Flow for Toll Station," Journal of Software vol. 7, no. 4, pp. 741-744, 2012.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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