{"title":"A Social Distancing Detection Method for Public Area Crowds Based on YOLO","authors":"冰 陈","doi":"10.12677/airr.2023.123023","DOIUrl":null,"url":null,"abstract":"This paper presents a crowd social distancing detection method based on the YOLO model, aiming to effectively control crowd movement and prevent the transmission of infectious diseases in densely populated public areas. The proposed method leverages the YOLO model to perform pedestrian detection on videos captured in public areas, thereby extracting precise positional key","PeriodicalId":68167,"journal":{"name":"人工智能与机器人研究","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"人工智能与机器人研究","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.12677/airr.2023.123023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a crowd social distancing detection method based on the YOLO model, aiming to effectively control crowd movement and prevent the transmission of infectious diseases in densely populated public areas. The proposed method leverages the YOLO model to perform pedestrian detection on videos captured in public areas, thereby extracting precise positional key
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