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Design and Implementation of a Real-Time Vehicle's Model Recognition System  

Choi Tae-Wan (진주산업대학교 메카트로닉스공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.10, no.5, 2006 , pp. 877-889 More about this Journal
Abstract
This paper introduces a simple but effective method for recognizing vehicle models corresponding to each maker by information and images for moving vehicles. The proposed approach is implemented by combination of the breadth detection mechanism using the vehicle's pressure, exact height detection by a laser scanning, and license plate recognition for classifying specific vehicles. The implemented system is therefore capable of robust classification with real-time vehicle's moving images and established sensors. Simulation results using the proposed method on synthetic data as well as real world images demonstrate that proposed method can maintain an excellent recognition rate for moving vehicle models because of image acquisition by 2-D CCD and various image processing algorithms.
Keywords
Vehicle recognition; classification; license plate recognition; image processing;
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