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dc.contributor.advisorLing, Haibin
dc.creatorElezovikj, Semir
dc.date.accessioned2020-11-03T16:23:56Z
dc.date.available2020-11-03T16:23:56Z
dc.date.issued2014
dc.identifier.other890207850
dc.identifier.urihttp://hdl.handle.net/20.500.12613/2824
dc.description.abstractWe propose the use of depth-information to protect privacy in person-aware visual systems while preserving important foreground subjects and scene structures. We aim to preserve the identity of foreground subjects while hiding superfluous details in the background that may contain sensitive information. We achieve this goal by using depth information and relevant human detection mechanisms provided by the Kinect sensor. In particular, for an input color and depth image pair, we first create a sensitivity map which favors background regions (where privacy should be preserved) and low depth-gradient pixels (which often relates a lot to scene structure but little to identity). We then combine this per-pixel sensitivity map with an inhomogeneous image obscuration process for privacy protection. We tested the proposed method using data involving different scenarios including various illumination conditions, various number of subjects, different context, etc. The experiments demonstrate the quality of preserving the identity of humans and edges obtained from the depth information while obscuring privacy intrusive information in the background.
dc.format.extent31 pages
dc.language.isoeng
dc.publisherTemple University. Libraries
dc.relation.ispartofTheses and Dissertations
dc.rightsIN COPYRIGHT- This Rights Statement can be used for an Item that is in copyright. Using this statement implies that the organization making this Item available has determined that the Item is in copyright and either is the rights-holder, has obtained permission from the rights-holder(s) to make their Work(s) available, or makes the Item available under an exception or limitation to copyright (including Fair Use) that entitles it to make the Item available.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectComputer Science
dc.subjectInhomogeneous Diffusion
dc.subjectSensitivity Map
dc.subjectVisual Privacy Protection
dc.titleFOREGROUND AND SCENE STRUCTURE PRESERVED VISUAL PRIVACY PROTECTION USING DEPTH INFORMATION
dc.typeText
dc.type.genreThesis/Dissertation
dc.description.departmentComputer and Information Science
dc.relation.doihttp://dx.doi.org/10.34944/dspace/2806
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.description.degreeM.S.
refterms.dateFOA2020-11-03T16:23:56Z


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