Privacy in video surveilled spaces

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 a system prototype and research work that has been conducted by an interdisciplinary team of researchers. People appearing in a video stream control their visibility on a per-viewer basis and can choose to allow either the real view or an obscured image to be seen. The parts of the video stream containing a person's image are protected by an AES cipher and can be sent over untrusted networks. This paper presents experimental results with the example of a meeting room scenario. We conclude with remarks on the system's usability and on the problems encountered.

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