Affiliations: [a] ETH Zurich, Institute of Building Technology, CAAD, Wolfgang Pauli Str. 15, 8093 Zurich, Switzerland. E-mail: [email protected], [email protected], [email protected] | [b] ETH Zurich, Computer Vision Laboratory, Sternwartstrasse 7, 8092 Zurich, Switzerland. E-mail: [email protected], [email protected] | [c] University of Applied Sciences Rapperswil, Institute for Internet Technologies and Applications, Oberseestr. 10, 8640 Rapperswil, Switzerland. E-mail: [email protected]
Abstract: 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.
Keywords: Surveillance, cryptography, computer vision, building automation
