A Vision-Based Social Distancing and Critical Density Detection System for COVID-19

@article{Yang2021AVS,
  title={A Vision-Based Social Distancing and Critical Density Detection System for COVID-19},
  author={Dongfang Yang and Ekim Yurtsever and Vishnu Renganathan and Keith A. Redmill and Umit Ozguner},
  journal={Sensors (Basel, Switzerland)},
  year={2021},
  volume={21}
}
Social distancing (SD) is an effective measure to prevent the spread of the infectious Coronavirus Disease 2019 (COVID-19). However, a lack of spatial awareness may cause unintentional violations of this new measure. Against this backdrop, we propose an active surveillance system to slow the spread of COVID-19 by warning individuals in a region-of-interest. Our contribution is twofold. First, we introduce a vision-based real-time system that can detect SD violations and send non-intrusive audio… Expand
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