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Privacy-respecting smart video surveillance based on usage control enforcement

 
: Birnstill, Pascal
: Beyerer, Jürgen

:
Volltext urn:nbn:de:0072-555566 (6.7 MByte PDF)
MD5 Fingerprint: 19309882e0e55f46c52433a9dbc8a66d
(CC) by-sa
Erstellt am: 20.10.2016


Karlsruhe: KIT Scientific Publishing, 2016, XI, 240 S.
Zugl.: Karlsruhe, Inst. für Technologie (KIT), Diss., 2016
Karlsruher Schriften zur Anthropomatik, 25
ISBN: 978-3-7315-0538-9
ISBN: 3-7315-0538-X
URN: urn:nbn:de:0072-555566
Englisch
Dissertation, Elektronische Publikation
Fraunhofer IOSB ()
Sicherheit

Abstract
This research introduces a conceptual framework for enforcing privacy-related restrictions in smart video surveillance systems based on danger levels and incident types to be handled. It increases the selectivity of surveillance by restricting data processing to individuals associated to incidents under investigation. Constraints are enforced by usage control, which is instantiated for video surveillance for the first time and enables tailoring such systems to comply with data protection law.

: http://publica.fraunhofer.de/dokumente/N-417493.html