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

机译:实时自动车辆类型识别系统设计及其应用

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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:使用固定的单摄像头和视频采集卡,可以收集高速公路收费站车辆通过的实时视频流,并通过对数字图像进行运动检测的技术,可以从视频中自动检测包括车辆图像在内的所有数据帧。同时,将自动识别并显示车辆类型。系统过程包括四个主要步骤:读取视频捕获卡并将视频流分解为帧;行驶中的车辆检测;处理车辆数字图像;车辆类型识别。实验表明:系统设计简单有效。车辆图像处理的算法流程比参考文献简单。特别地,通过对包括在车身轮廓中的黑色像素总数进行计数的车辆类型识别算法是一项创新。

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