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Counting People Using Images from Two Low Cost Webcams

机译:使用来自两个低成本网络摄像头的图像计算人员

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The number of people entering an exhibition, a fair or a booth, or the number of people getting on and off the bus, etc. based on time-based statistics is very meaningful for the manager. There have been many studies and solutions to implement this problem. Each solution is applied in several different situations, depending on accuracy requirements, deployment location, deployment environment, product costs. This paper proposes a solution to count people with low-cost hardware, countable for both in and out directions, and the accuracy rate of over 92%. The solution proposes using two webcams of the same type, the process of classification and processing is done on Raspberry PI.
机译:进入展览的人数,公平或展位,或者基于基于时间的统计数据的人数等人数对经理非常有意义。有很多研究和解决方案来实施这个问题。每个解决方案应用于几种不同的情况,具体取决于精度要求,部署位置,部署环境,产品成本。本文提出了一种解决方案来计算具有低成本硬件的人,可根据进出和向外的方向计算,并且准确率超过92%。该解决方案建议使用相同类型的两个网络摄像头,对覆盆子PI进行分类和处理的过程。

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