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A user study on anonymization techniques for smart video surveillance

: Birnstill, Pascal; Ren, D.; Beyerer, Jürgen

Postprint urn:nbn:de:0011-n-3601583 (1.7 MByte PDF)
MD5 Fingerprint: 464d7314317783218ce207ca3d2e94b5
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Erstellt am: 22.9.2015

Institute of Electrical and Electronics Engineers -IEEE-; IEEE Signal Processing Society; IEEE Computer Society; Karlsruher Institut für Technologie -KIT-:
12th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2015 : Karlsruhe, Germany, 25-28 August 2015; Including workshop papers
Piscataway, NJ: IEEE, 2015
ISBN: 978-1-4673-7633-4
ISBN: 978-1-4673-7632-7
International Conference on Advanced Video and Signal-Based Surveillance (AVSS) <12, 2015, Karlsruhe>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()

A key mechanism of privacy-aware smart video surveillance is anonymization of video data. We conducted a user study with a response of 103 participants in order to investigate which pixel operations are suitable for protecting persons’ identities while, at the same time, allowing a human operator to recognize persons’ activities i.e., preserving the utility of the video data. Regarding the activities in the data set, namely stealing, fighting, and dropping a bag, our data does not approve the common hypothesis that privacy and utility of video data are necessarily trade-off.