Privacy Protecting, Real-time Face Re-recognition

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dc.contributor.authorNiederberger, Thomasen_US
dc.contributor.authorHegner, Roberten_US
dc.contributor.authorHartmann, Andreasen_US
dc.contributor.authorSchuster, Guido M.en_US
dc.contributor.editorB. Solenthaler and E. Puppoen_US
dc.date.accessioned2015-04-15T18:40:48Z
dc.date.available2015-04-15T18:40:48Z
dc.date.issued2015en_US
dc.description.abstractWe present a novel system for recognizing human individuals walking past a depth camera that is compatible with privacy protecting laws. The system is developed to support the statistical analysis of movement patterns in indoor spaces. The system is able to re-recognize previously seen individuals but is also capable of recognizing that an individual has not been seen before. The system is designed in a privacy protecting way and does not rely on previously collected training data but rather collects data during run-time. The proposed system processes each image of an individual separately, but we also present a new approach that is based on combining several decisions into a single meta-decision in order to enhance classification performance.en_US
dc.description.sectionheadersPostersen_US
dc.description.seriesinformationEG 2015 - Postersen_US
dc.identifier.doi10.2312/egp.20151034en_US
dc.identifier.pages7-8en_US
dc.identifier.urihttps://doi.org/10.2312/egp.20151034en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.4.9 [Image Processing and Computer Vision]en_US
dc.subjectApplicationsen_US
dc.titlePrivacy Protecting, Real-time Face Re-recognitionen_US
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