A Computer Vision Based on Vehicle Detection and Counting System Using Sensor Security

Prashant Kumar, Shilpi Sharma
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引用次数: 3

Abstract

Unique—Vehicle identification and counting framework, which assumes a significant part in keen transportation framework, and the administration of the progression of traffic. In this real, we refuse a video metric technique for the place and whole of vehicles self-reliant on PC vision innovations. The proposed lack employs the foundation deduction strategy is to see closer view objects into the video. For a more precise recognition of moving vehicles, and afterward there are some PC vision strategies, including tear an opening to fill, and keeping in mind that the morphology of the exercises. At long last, the vehicle, the statistics will be done with the assistance of a virtual discovery zone. The trial results show ordinarily the exactness and precision of the deliberate vehicle counting framework, it is around 96%.
基于传感器安全的计算机视觉车辆检测与计数系统
唯一车辆识别和计数框架,在交通运输框架和交通进程管理中起着重要作用。在这个现实中,我们拒绝了一种基于PC视觉创新的地方和整个车辆的视频度量技术。所提出的缺乏采用基础推理策略是看到视频中更近的视图对象。为了更精确地识别移动的车辆,之后还有一些PC视觉策略,包括撕开一个开口来填充,以及记住形态的练习。最后,车辆的统计将在虚拟发现区的协助下完成。试验结果表明,该框架的正确率和精密度一般在96%左右。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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