Invisible-to-Visible: Privacy-Aware Human Segmentation using Airborne Ultrasound via Collaborative Learning Probabilistic U-Net. (arXiv:2205.05293v1 [cs.CV])

Web: http://arxiv.org/abs/2205.05293

Color images are easy to understand visually and can acquire a great deal of
information, such as color and texture. They are highly and widely used in
tasks such as segmentation. On the other hand, in indoor person segmentation,
it is necessary to collect person data considering privacy. We propose a new
task for human segmentation from invisible information, especially airborne
ultrasound. We first convert ultrasound waves to reflected ultrasound
directional images (ultrasound images) to perform segmentation from invisible
information. …

arxiv collaborative cv human learning privacy segmentation