A User Study on Anonymization Techniques for Smart Video Surveillance

被引：0
|
作者：
Birnstill, Pascal [1 ]
Ren, Daoyuan [2 ]
Beyerer, Juergen [1 ]
机构：
[1] Fraunhofer IOSB, Karlsruhe, Germany
[2] Karlsruhe Inst Technol, D-76021 Karlsruhe, Germany
来源：
2015 12TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED VIDEO AND SIGNAL BASED SURVEILLANCE (AVSS) | 2015年
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D O I：
暂无
中图分类号：
TB8 [摄影技术];
学科分类号：
0804 ;
摘要：
A key mechanism of privacy-aware smart video surveillance is anon ymization 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.
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页数：6
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