Factors on the sense of privacy in video surveillance
Takashi Koshimizu, Tomoji Toriyama, Noboru Babaguchi · 2006
With the increasing demand for greater security, video surveillance technologies have recently received a lot of attention. As video surveillance cameras become ubiquitous, there are growing concerns over the cost of monitoring these systems and the possible invasion of privacy. In this paper, we discuss a system architecture of privacy-preserving video surveillance for a community that achieves a good balance between security and privacy. We call the designed system 'PriSurv'. A subset of PriSurv is implemented, and privacy protected image processing modules are installed. The privacy preserving image processing is called visual abstraction. We conducted an experiment using five abstracted images and a questionnaire to evaluate PriSurv. Analyzing the results of the experiment using factor analysis, we obtained seven factors. With a hierarchical cluster analysis, we divided the subjects into three clusters. A significant difference in the choice of images among the clusters was found using the Pearson χ-squared test. From this analysis, we show that the relationships between subjects and monitors affect the subjects' sense of privacy; furthermore, the subjects' sense of privacy depends on the individual person. The results of analysis supports PriSurv's design principle, which can adapt the personal sense of privacy.