Negotiating privacy preferences in video surveillance systems

摘要: We propose a novel privacy aware video surveillance system. The proposed system encodes preferences using P3P-APPEL framework that was first for managing data on the web. To this end, we have extensions to make it suitable applications. A noteworthy feature of is its ability interact with individuals present in scene. Users appropriate security credentials access one three settings: L0 (no privacy), L1 (face blur), and L2 (full body blur). User can thus choose level (or surveillance) they are comfortable with. This an extremely desirable capability shifts relationship between those who observed operate systems.