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AuthorAl-Sa'd M.
AuthorKiranyaz, Mustafa Serkan
AuthorAhmad I.
AuthorSundell C.
AuthorVakkuri M.
AuthorGabbouj M.
Available date2022-04-26T12:31:17Z
Publication Date2022
Publication NameSensors
ResourceScopus
Identifierhttp://dx.doi.org/10.3390/s22020418
URIhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85122181933&doi=10.3390%2fs22020418&partnerID=40&md5=a88ac281c29cbd852d55c67575d56bde
URIhttp://hdl.handle.net/10576/30579
AbstractSocial 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 labor-intensive task that is prone to human error and tainted with plausible breaches of privacy. This paper presents a privacy-preserving adaptive social distance estimation and crowd monitoring solution for camera surveillance systems. We develop a novel person localization strategy through pose estimation, build a privacy-preserving adaptive smoothing and tracking model to mitigate occlusions and noisy/missing measurements, compute inter-personal distances in the real-world coordinates, detect social distance infractions, and identify overcrowded regions in a scene. Performance evaluation is carried out by testing the system?s ability in person detection, localization, density estimation, anomaly recognition, and high-risk areas identification. We compare the proposed system to the latest techniques and examine the performance gain delivered by the localization and smoothing/tracking algorithms. Experimental results indicate a considerable improvement, across different metrics, when utilizing the developed system. In addition, they show its potential and functionality for applications other than social distancing.
Languageen
PublisherMDPI
SubjectCameras
Gesture recognition
Risk perception
Security systems
COVID-19
Crowd monitoring
Detection and tracking
Localisation
Person detection
Person tracking
Pose-estimation
Social distance
Social distancing
Video surveillance
Monitoring
algorithm
crowding (area)
human
Algorithms
COVID-19
Crowding
Humans
Physical Distancing
SARS-CoV-2
TitleA Social Distance Estimation and Crowd Monitoring System for Surveillance Cameras
TypeArticle
Issue Number2
Volume Number22
dc.accessType Abstract Only


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