PriSurv: Privacy Protected Video Surveillance System Using Adaptive Visual Abstraction
PriSurv: Privacy Protected Video Surveillance System Using Adaptive Visual Abstraction
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DOI：
10.1007/978-3-540-77409-9_14
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发表时间：
2008-01
期刊：
影响因子：
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通讯作者：
Kenta Chinomi;Naoko Nitta;Yoshimichi Ito;N. Babaguchi
中科院分区：
文献类型：
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作者：
Kenta Chinomi;Naoko Nitta;Yoshimichi Ito;N. Babaguchi
最近，视频监控作为实现安全和安全社区的技术受到了广泛关注。视频监控对于犯罪威慑和调查是有用的，但可能会导致侵犯隐私。本文提出了一种基于视觉抽象的视频监控系统PriSurv。该系统根据视频中对象与观看者之间的接近程度来确定对象的隐私策略，从而保护视频中对象的隐私，PriSurv原型能够通过视觉抽象自适应地保护隐私。
Recently, video surveillance has received a lot of attention as a technology to realize a secure and safe community. Video surveillance is useful for crime deterrence and investigations, but may cause the invasion of privacy. In this paper, we propose a video surveillance system named PriSurv, which is characterized byvisual abstraction. This system protects the privacy of objects in a video by referring to their privacy policies which are determined according to closeness between objects in the video and viewers monitoring it. A prototype of PriSurv is able to protect the privacy adaptively throughvisual abstraction.