Abstract
Due to the issues of recent traffic situation and the problems of current vehicle recognition systems, a high resolution video image based real-time monitoring system for multi-lane violation trucks is presented and implemented in this paper. A soft-trigger technique based background-blocks is utilized to detect the big vehicles in real-time, then a step-by-step feature extraction and recognition approach effects from the facial window to entire vehicle body is proposed based on Sobel operator and Hough transform. Experimental results indicate the accuracy and efficient of proposed system, which has high practical value for several applications.
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