Monocular Pedestrian 3D Localization for Social Distance Monitoring.

Niu, Yiru; Xu, Zhihua; Xu, Ershuai; Li, Gongwei; Huo, Yuan; Sun, Wenbin

Niu, Yiru; Xu, Zhihua; Xu, Ershuai; Li, Gongwei; Huo, Yuan; Sun, Wenbin.

Afiliación

Niu Y; College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.
Xu Z; College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.
Xu E; State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology (Beijing), Beijing 100083, China.
Li G; College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.
Huo Y; College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.
Sun W; Key Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.

Sensors (Basel) ; 21(17)2021 Sep 02.

Article en En | MEDLINE | ID: mdl-34502799

Asunto(s)

COVID-19; Peatones; Calibración; Pie; Humanos; SARS-CoV-2

Palabras clave

LiDAR point clouds; monocular camera; social distance monitoring; three-dimensional localization

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Peatones / COVID-19 Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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