doi: 10.4304/jsw.7.4.741-744
Research of Vehicle Type Recognition System Based on Audio Video Interleaved Flow for Toll Station
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.
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)
Abbreviated Title: J. Softw.
Frequency: Quarterly
APC: 500USD
DOI: 10.17706/JSW
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Cecilia Xie
Abstracting/ Indexing: DBLP, EBSCO,
CNKI, Google Scholar, ProQuest,
INSPEC(IET), ULRICH's Periodicals
Directory, WorldCat, etcE-mail: jsweditorialoffice@gmail.com
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