Towards a trustworthy privacy in pervasive video surveillance systems

The consideration of security and privacy is a linchpin of the social acceptance of pervasive technology. This paper paves the way to the development of trustworthy pervasive video surveillance systems, by emphasizing the need to properly combine different aspects that current systems do not manage. In particular, in this paper we propose the combination of the following issues into a common framework: proper people identification mainly based on computer vision techniques, content protection not only by using convenient cryptographic techniques, but also law enforcement and user cooperation in order to get feedback with regard to the whole video surveillance system. Furthermore, an analysis focused on the current computer vision techniques used for people identification is presented. Finally, a score to measure the trust offered by video surveillance systems is proposed.