Highlights
The purpose of this work is to provide a deep learning platform for social distance tracking.
The framework uses the YOLOv3 object recognition paradigm to identify humans in video sequences.
The transfer learning methodology is implemented to increase the accuracy of the model.
The detection algorithm uses a pre-trained algorithm.
To estimate social distance violations between people, we used an approximation of physical distance.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.