Cargando…

A Social Distance Estimation and Crowd Monitoring System for Surveillance Cameras

Social distancing is crucial to restrain the spread of diseases such as COVID-19, but complete adherence to safety guidelines is not guaranteed. Monitoring social distancing through mass surveillance is paramount to develop appropriate mitigation plans and exit strategies. Nevertheless, it is a labo...

Descripción completa

Detalles Bibliográficos
Autores principales:	Al-Sa’d, Mohammad, Kiranyaz, Serkan, Ahmad, Iftikhar, Sundell, Christian, Vakkuri, Matti, Gabbouj, Moncef
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780365/ https://www.ncbi.nlm.nih.gov/pubmed/35062382 http://dx.doi.org/10.3390/s22020418

Ejemplares similares

Personalized Monitoring and Advance Warning System for Cardiac Arrhythmias
por: Kiranyaz, Serkan, et al.
Publicado: (2017)

Multidimensional particle swarm optimization for machine learning and pattern recognition
por: Kiranyaz, Serkan, et al.
Publicado: (2013)

Automated Physical Distance Estimation and Crowd Monitoring Through Surveillance Video
por: Junayed, Masum Shah, et al.
Publicado: (2022)

Cognitive Cameras on the Edge for Crowd Physical Distancing Monitoring in the Covid-19 Era
por: Raimondo, Francesco, et al.
Publicado: (2023)

Multi-camera BEV video-surveillance system for efficient monitoring of social distancing
por: Montero, David, et al.
Publicado: (2023)

COVID-19 infection map generation and detection from chest X-ray images
por: Degerli, Aysen, et al.
Publicado: (2021)

Dynamic Camera Reconfiguration with Reinforcement Learning and Stochastic Methods for Crowd Surveillance †
por: Bisagno, Niccolò, et al.
Publicado: (2020)

A Real-Time Crowd Monitoring and Management System for Social Distance Classification and Healthcare Using Deep Learning
por: Yadav, Sangeeta, et al.
Publicado: (2022)

Monitoring physical distancing for crowd management: Real-time trajectory and group analysis
por: Pouw, Caspar A. S., et al.
Publicado: (2020)

Accurate population estimation of Caprinae using camera traps and distance sampling
por: Harris, Grant M., et al.
Publicado: (2020)

Self-Supervised Object Distance Estimation Using a Monocular Camera
por: Liang, Hong, et al.
Publicado: (2022)

Estimating effective survey duration in camera trap distance sampling surveys
por: Kühl, Hjalmar S., et al.
Publicado: (2023)

COVID surveillance robot: Monitoring social distancing constraints in indoor scenarios
por: Sathyamoorthy, Adarsh Jagan, et al.
Publicado: (2021)

Retracted: A Real-Time Crowd Monitoring and Management System for Social Distance Classification and Healthcare Using Deep Learning
por: Healthcare Engineering, Journal of
Publicado: (2023)

Nonlinear digital filtering with Python: an introduction
por: Pearson, Ronald K, et al.
Publicado: (2015)

Decoupling Intensity Radiated by the Emitter in Distance Estimation from Camera to IR Emitter
por: Cano-García, Angel E., et al.
Publicado: (2013)

Social-distancing fatigue: Evidence from real-time crowd-sourced traffic data
por: Shearston, Jenni A., et al.
Publicado: (2021)

Social Distancing Associations with COVID-19 Infection and Mortality Are Modified by Crowding and Socioeconomic Status
por: VoPham, Trang, et al.
Publicado: (2021)

The Influence of the Presentation of Camera Surveillance on Cheating and Pro-Social Behavior
por: Jansen, Anja M., et al.
Publicado: (2018)

Using the Standard Deviation of a Region of Interest in an Image to Estimate Camera to Emitter Distance
por: Cano-García, Angel E., et al.
Publicado: (2012)

Farm Vehicle Following Distance Estimation Using Deep Learning and Monocular Camera Images
por: Arabi, Saeed, et al.
Publicado: (2022)

Monitoring social distancing under various low light conditions with deep learning and a single motionless time of flight camera
por: Rahim, Adina, et al.
Publicado: (2021)

Social distancing in retail: Influence of perceived retail crowding and self-efficacy on employees’ perceived risks
por: Chang, Tsung-Sheng
Publicado: (2021)

Biclustering of microarray data with MOSPO based on crowding distance
por: Liu, Junwan, et al.
Publicado: (2009)

The distribution of initial estimates moderates the effect of social influence on the wisdom of the crowd
por: Almaatouq, Abdullah, et al.
Publicado: (2022)

Mid-price prediction based on machine learning methods with technical and quantitative indicators
por: Ntakaris, Adamantios, et al.
Publicado: (2020)

Visual perception of travel distance for self-motion through crowds
por: Hülemeier, Anna-Gesina, et al.
Publicado: (2023)

Crowd control: Reducing individual estimation bias by sharing biased social information
por: Jayles, Bertrand, et al.
Publicado: (2021)

A Novel Method for Estimating Distances from a Robot to Humans Using Egocentric RGB Camera
por: Pathi, Sai Krishna, et al.
Publicado: (2019)

A Smartphone Camera-Based Indoor Positioning Algorithm of Crowded Scenarios with the Assistance of Deep CNN
por: Jiao, Jichao, et al.
Publicado: (2017)

Smart Camera Aware Crowd Counting via Multiple Task Fractional Stride Deep Learning †
por: Tong, Minglei, et al.
Publicado: (2019)

Camera–Monitor Systems as An Opportunity to Compensate for Perceptual Errors in Time-to-Contact Estimations
por: Wögerbauer, Elisabeth Maria, et al.
Publicado: (2023)

Object Distance Estimation Using a Single Image Taken from a Moving Rolling Shutter Camera
por: Kim, Namhoon, et al.
Publicado: (2020)

Experiences of using surveillance cameras as a monitoring solution at nursing homes: The eldercare personnel’s perspectives
por: Emilsson, Maria, et al.
Publicado: (2023)

Crowd of Oz: A Crowd-Powered Social Robotics System for Stress Management
por: Abbas, Tahir, et al.
Publicado: (2020)

Elite darts performance and the social influence of real crowds and simulated crowd noise
por: Greve, Jona, et al.
Publicado: (2023)

Anomaly Detection Based on Local Nearest Neighbor Distance Descriptor in Crowded Scenes
por: Hu, Xing, et al.
Publicado: (2014)

Seat Choice in a Crowded Café: Effects of Eye Contact, Distance, and Anchoring
por: Staats, Henk, et al.
Publicado: (2019)

A deep learning-based social distance monitoring framework for COVID-19
por: Ahmed, Imran, et al.
Publicado: (2021)

A density estimation model of plateau pika (Ochotona curzoniae) supporting camera‐monitoring programs
por: Jia, Ying‐Hui, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_0hgp9kqthe4piokmg8sv0mphgl