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Realization of multiple human head detection and direction movement using Raspberry Pi

机译:使用Raspberry Pi实现多个人头检测和方向移动

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People gather in huge crowds during festive seasons and the streets get overcrowded during peak hours of traffic. Managing the crowd requires an intelligent monitoring technology. In this paper, we propose a method to manage the crowd by counting multiple humans in the scene by head detection. In our study, we develop a system using Raspberry Pi 3 board that detects the human heads and provide a count of humans in the region using OpenCV-Python. A Haar cascade classifier is trained for human head detection. The direction of movement is determined from the pixel values in consecutive frames. The results of the analysis will be helpful in managing the crowd in any area with high density of crowds.
机译:在节日期间,人们聚集在大批人群中,在交通高峰时段,街道变得人满为患。管理人群需要智能监控技术。在本文中,我们提出了一种通过头部检测来计数场景中的多个人的人群管理方法。在我们的研究中,我们使用Raspberry Pi 3开发板开发了一个系统,该系统可以检测人的头部并使用OpenCV-Python提供该区域的人数。对Haar级联分类器进行了人头检测训练。根据连续帧中的像素值确定运动方向。分析的结果将有助于在人群密度高的任何区域管理人群。

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