A Face Image Virtualization Mechanism for Privacy Intrusion Prevention in Healthcare Video Surveillance Systems

Closed-circuit television (CCTV) and video surveillance systems (VSSs) are becoming increasingly more common each year to help prevent incidents/accidents and ensure the security of public places and facilities. The increased presence of VSS is also increasing the number of per capita exposures to C...

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Main Authors: Jinsu Kim, Namje Park
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/12/6/891
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spelling doaj-edc83ca63f4f46079466c9a22e4d45662020-11-25T03:15:08ZengMDPI AGSymmetry2073-89942020-06-011289189110.3390/sym12060891A Face Image Virtualization Mechanism for Privacy Intrusion Prevention in Healthcare Video Surveillance SystemsJinsu Kim0Namje Park1Department of Convergence Information Security, Graduate School, Jeju National University, Jeju City 63243, KoreaDepartment of Convergence Information Security, Graduate School, Jeju National University, Jeju City 63243, KoreaClosed-circuit television (CCTV) and video surveillance systems (VSSs) are becoming increasingly more common each year to help prevent incidents/accidents and ensure the security of public places and facilities. The increased presence of VSS is also increasing the number of per capita exposures to CCTV cameras. To help protect the privacy of the exposed objects, attention is being drawn to technologies that utilize intelligent video surveillance systems (IVSSs). IVSSs execute a wide range of surveillance duties—from simple identification of objects in the recorded video data, to understanding and identifying the behavioral patterns of objects and the situations at the incident/accident scenes, as well as the processing of video information to protect the privacy of the recorded objects against leakage. Besides, the recorded privacy information is encrypted and recorded using blockchain technology to prevent forgery of the image. The technology herein proposed (the “proposed mechanism”) is implemented to a VSS, where the mechanism converts the original visual information recorded on a VSS into a similarly constructed image information, so that the original information can be protected against leakage. The face area extracted from the image information is recorded in a separate database, allowing the creation of a restored image that is in perfect symmetry with the original image for images with virtualized face areas. Specifically, the main section of this study proposes an image modification mechanism that inserts a virtual face image that closely matches a predetermined similarity and uses a blockchain as the storage area.https://www.mdpi.com/2073-8994/12/6/891closed-circuit televisionCCTVintelligent video surveillance systemprivacyvirtualizationvirtual face image
collection DOAJ
language English
format Article
sources DOAJ
author Jinsu Kim
Namje Park
spellingShingle Jinsu Kim
Namje Park
A Face Image Virtualization Mechanism for Privacy Intrusion Prevention in Healthcare Video Surveillance Systems
Symmetry
closed-circuit television
CCTV
intelligent video surveillance system
privacy
virtualization
virtual face image
author_facet Jinsu Kim
Namje Park
author_sort Jinsu Kim
title A Face Image Virtualization Mechanism for Privacy Intrusion Prevention in Healthcare Video Surveillance Systems
title_short A Face Image Virtualization Mechanism for Privacy Intrusion Prevention in Healthcare Video Surveillance Systems
title_full A Face Image Virtualization Mechanism for Privacy Intrusion Prevention in Healthcare Video Surveillance Systems
title_fullStr A Face Image Virtualization Mechanism for Privacy Intrusion Prevention in Healthcare Video Surveillance Systems
title_full_unstemmed A Face Image Virtualization Mechanism for Privacy Intrusion Prevention in Healthcare Video Surveillance Systems
title_sort face image virtualization mechanism for privacy intrusion prevention in healthcare video surveillance systems
publisher MDPI AG
series Symmetry
issn 2073-8994
publishDate 2020-06-01
description Closed-circuit television (CCTV) and video surveillance systems (VSSs) are becoming increasingly more common each year to help prevent incidents/accidents and ensure the security of public places and facilities. The increased presence of VSS is also increasing the number of per capita exposures to CCTV cameras. To help protect the privacy of the exposed objects, attention is being drawn to technologies that utilize intelligent video surveillance systems (IVSSs). IVSSs execute a wide range of surveillance duties—from simple identification of objects in the recorded video data, to understanding and identifying the behavioral patterns of objects and the situations at the incident/accident scenes, as well as the processing of video information to protect the privacy of the recorded objects against leakage. Besides, the recorded privacy information is encrypted and recorded using blockchain technology to prevent forgery of the image. The technology herein proposed (the “proposed mechanism”) is implemented to a VSS, where the mechanism converts the original visual information recorded on a VSS into a similarly constructed image information, so that the original information can be protected against leakage. The face area extracted from the image information is recorded in a separate database, allowing the creation of a restored image that is in perfect symmetry with the original image for images with virtualized face areas. Specifically, the main section of this study proposes an image modification mechanism that inserts a virtual face image that closely matches a predetermined similarity and uses a blockchain as the storage area.
topic closed-circuit television
CCTV
intelligent video surveillance system
privacy
virtualization
virtual face image
url https://www.mdpi.com/2073-8994/12/6/891
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