Apr 4, 2022 · Our proposal enables sufficiently reliable estimation of the inter-personal distance to monitor social distancing effectively.

Experimental results highlight that the proposal enables sufficiently reliable estimation of the inter-personal distance to monitor social distancing ...

Experimental results highlight that our proposal enables sufficiently reliable estimation of the inter- personal distance to monitor social distancing ...

This is the repository for our paper Monitoring social distancing with single image depth estimation. Using monodepth neural networks, particular CNNs that�...

Dec 15, 2022 · We propose a social distance evaluation method for uncalibrated single images. Our method combines object detection and pose estimation with projective ...

Estimating depth from a single image represents an attractive alternative to more traditional approaches leveraging multiple cameras. Ranked #42 on Monocular ...

In this work, we address the problem of estimating the so-called “Social Distancing” given a single uncalibrated image in unconstrained scenarios.

This paper proposes the first comprehensive survey of VSDM frameworks and identifies their challenges and future perspectives.

Although this allows to potentially monitor social distancing from single, uncalibrated images [19], it makes some strong assumptions on the framed scenes. ...

This paper presents a privacy-preserving adaptive social distance estimation and crowd monitoring solution for camera surveillance systems.