基于YOLOv4的新冠疫情感染者行迹识别

崔佳豪,李丹

Network Security Technology & Application(2022)

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Abstract
针对新冠疫情防控期间下对于已公布新冠疫情感染者在路口,火车站等场所下的行踪轨迹识别问题,本文基于YOLOv4目标检测模型,结合Mosaic数据增强和标签平滑,对该场所下的行人进行检测并记录下感染者在当前场所行踪,从而实现感染者行迹识别.
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