Privacy in video surveilled areas

We present a system prototype for self-determination and privacy enhancement in video surveilled areas by integrating computer vision and cryptographic techniques into networked building automation systems. This paper describes research work that has been done within the first half of the collaborative blue-c-II project and is conducted by an interdisciplinary team of researchers. Persons in a video stream control their visibility on a per-viewer base and can choose to allow either the real view or an obscured image to be seen. The parts of the video stream that show a person are protected by an AES cipher and can be sent over untrusted networks. Experimental results are presented by the example of a meeting room scenario. The paper concludes with remarks on the usability and encountered problems.

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