  Video surveillance has become ubiquitous in the modern world. Mobile devices,
surveillance cameras, and IoT devices, all can record video that can violate
our privacy. One proposed solution for this is privacy-preserving video, which
removes identifying information from the video as it is produced. Several
algorithms for this have been proposed, but all of them suffer from scale
issues: in order to sufficiently anonymize near-camera objects, distant objects
become unidentifiable. In this paper, we propose a scale-invariant method,
based on wavelet decomposition.
