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Erschienen in:
Reflection Symmetry Detection via Appearance of Structure Descriptor Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

Faceless Person Recognition: Privacy Implications in Social Media

verfasst von : Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele

Erschienen in: Computer Vision – ECCV 2016

Verlag: Springer International Publishing

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Abstract

As we shift more of our lives into the virtual domain, the volume of data shared on the web keeps increasing and presents a threat to our privacy. This works contributes to the understanding of privacy implications of such data sharing by analysing how well people are recognisable in social media data. To facilitate a systematic study we define a number of scenarios considering factors such as how many heads of a person are tagged and if those heads are obfuscated or not. We propose a robust person recognition system that can handle large variations in pose and clothing, and can be trained with few training samples. Our results indicate that a handful of images is enough to threaten users’ privacy, even in the presence of obfuscation. We show detailed experimental results, and discuss their implications.

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Vorheriges Kapitel Reflection Symmetry Detection via Appearance of Structure Descriptor
Nächstes Kapitel Segmental Spatiotemporal CNNs for Fine-Grained Action Segmentation
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Metadaten
Titel
Faceless Person Recognition: Privacy Implications in Social Media
verfasst von
Seong Joon Oh
Rodrigo Benenson
Mario Fritz
Bernt Schiele
Copyright-Jahr
2016
Buch
Computer Vision – ECCV 2016

Print ISBN: 978-3-319-46486-2

Electronic ISBN: 978-3-319-46487-9

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-46487-9_2