Abstract
Via a fixed camera, real-time video including moving vehicles of a highway toll station is collected, with technology of digital image processing and recognition, all frames include vehicles can be detected automatically from the video, and vehicle type will be recognized automatically. The system includes four modules: reading video and decomposing it into frames; moving vehicle detection; vehicle image processing and vehicle type recognition from image. Tests show that the system design is simple and effective. Vehicle image processing algorithm in the system is simpler than that of references and vehicle type recognition algorithm through counting black pixels number including in vehicle body contour is a new idea.
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Zhan, W., Wan, Q. (2012). Real-Time and Automatic Vehicle Type Recognition System Design and Its Application. In: Li, Z., Li, X., Liu, Y., Cai, Z. (eds) Computational Intelligence and Intelligent Systems. ISICA 2012. Communications in Computer and Information Science, vol 316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34289-9_23
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DOI: https://doi.org/10.1007/978-3-642-34289-9_23
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