Impact of Mini-drone Based Video Surveillance on Invasion of Privacy

An increase in adoption of video surveillance, affecting many aspects of daily lives, raises public concern about an intrusion into individual privacy. New sensing and surveillance tech-nologies, such as mini-drones, threaten to eradicate bound-aries of private space even more. Therefore, it is important to study the effect of mini-drones on privacy intrusion and to understand how existing protection privacy filters per-form on a video captured by a mini-drone. To this end, we have built a publicly available video dataset of typical drone-based surveillance sequences in a car parking. Using the sequences from this dataset, we assessed five privacy pro-tection filters at different strength levels via a crowdsourcing evaluation. We asked crowdsourcing workers several privacy- and surveillance-related questions to determine the tradeoff between intelligibility of the scene and privacy protection provided by the filters.