Adversary-Guided Motion Retargeting for Skeleton Anonymization

arXiv:2405.05428v1 Announce Type: cross
Abstract: Skeleton-based motion visualization is a rising field in computer vision, especially in the case of virtual reality (VR). With further advancements in human-pose estimation and skeleton extracting sensors, more and more applications that utilize skeleton data have come about. These skeletons may appear to be anonymous but they contain embedded personally identifiable information (PII). In this paper we present a new anonymization technique that is based on motion retargeting, utilizing adversary classifiers to further remove …

advancements adversary anonymization anonymous applications arxiv case computer computer vision cs.cr cs.cv cs.lg data human may motion reality rising sensors skeleton virtual virtual reality visualization