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Inter-Homines: Distance-Based Risk Estimation for Human Safety
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Academic Article
research paper
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isDefinedBy
Covid-on-the-Web dataset
title
Inter-Homines: Distance-Based Risk Estimation for Human Safety
Creator
Baraldi, Lorenzo
Calderara, Simone
Cucchiara, Rita
Fabbri, Matteo
Gasparini, Riccardo
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source
ArXiv
abstract
In this document, we report our proposal for modeling the risk of possible contagiousity in a given area monitored by RGB cameras where people freely move and interact. Our system, called Inter-Homines, evaluates in real-time the contagion risk in a monitored area by analyzing video streams: it is able to locate people in 3D space, calculate interpersonal distances and predict risk levels by building dynamic maps of the monitored area. Inter-Homines works both indoor and outdoor, in public and private crowded areas. The software is applicable to already installed cameras or low-cost cameras on industrial PCs, equipped with an additional embedded edge-AI system for temporary measurements. From the AI-side, we exploit a robust pipeline for real-time people detection and localization in the ground plane by homographic transformation based on state-of-the-art computer vision algorithms; it is a combination of a people detector and a pose estimator. From the risk modeling side, we propose a parametric model for a spatio-temporal dynamic risk estimation, that, validated by epidemiologists, could be useful for safety monitoring the acceptance of social distancing prevention measures by predicting the risk level of the scene.
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2020-07-20
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60dc10ca4b7aabb2db69194a8a35b8f46f3f0d3b
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Inter-Homines: Distance-Based Risk Estimation for Human Safety
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covid:60dc10ca4b7aabb2db69194a8a35b8f46f3f0d3b#body_text
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