Person Re-Identification without Identification via Event Anonymization. (arXiv:2308.04402v2 [cs.CV] UPDATED)

Wide-scale use of visual surveillance in public spaces puts individual
privacy at stake while increasing resource consumption (energy, bandwidth, and
computation). Neuromorphic vision sensors (event-cameras) have been recently
considered a valid solution to the privacy issue because they do not capture
detailed RGB visual information of the subjects in the scene. However, recent
deep learning architectures have been able to reconstruct images from event
cameras with high fidelity, reintroducing a potential threat to privacy for
event-based vision applications. In this …

anonymization arxiv cameras computation energy event identification information issue neuromorphic person privacy public scale sensors solution spaces surveillance vision