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Real Time and Automatic Vehicle Type Recognition System Design and Its Application

机译:实时和自动车型识别系统设计及其应用

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摘要

Using a fixed single camera and video capture card, the real time video flow of a highway toll station's vehicle passing has be collected, with technology of motion detection on digital image, all data frames include vehicle image can be detected automatically from the video, at the same time, vehicle type will be recognized and displayed automatically. The system process consists of four main steps: Reading video capture card and decomposing video flow into frames; Moving vehicle detection; Processing vehicle digital image; Vehicle type recognition. Experiment shows: the system design is simple and effective; the algorithm flow of vehicle image processing is simpler than that of references. Specially, the algorithm of vehicle type recognition through counting the total number of black pixels included in vehicle body contour is an innovation.
机译:使用固定的单个相机和视频采集卡,已经收集了高速公路收费站的车辆传递的实时视频流,在数码图像上具有运动检测技术,所有数据帧都可以自动检测车辆图像,可以自动检测到视频同时,将自动识别和显示车型。系统过程由四个主要步骤组成:读取视频采集卡并将视频流入帧;移动车辆检测;处理车辆数字图像;车型识别。实验表明:系统设计简单有效;车辆图像处理的算法流量比参考值更简单。特别地,通过计算车身轮廓中包括的黑色像素总数的车辆类型识别算法是一种创新。

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