A Category-Selective Encryption Framework for Privacy Protection of UAV Images
[Kryptografia i bezpieczeństwo] Autorzy: Ting Yan, Minghui Shang, Haolang Sun i 3 więcej
Imagery captured by unmanned aerial vehicle (UAV) systems increasingly raises privacy concerns, as UAV aerial surveillance routinely captures sensitive objects such as pedestrians and vehicles alongside ordinary scene content. Existing privacy-preserving approaches typically employ class-agnostic saliency detection to indiscriminately obfuscate all visually salient regions, leading to unnecessary information loss and hindering downstream scene analysis. This paper proposes a category-selective encryption framework for privacy-preserving UAV surveillance. The core advance over prior class-agnostic approaches is semantic-level selectivity: the system first recognizes what is present in the scene via an 80-class detector, then encrypts only user-specified sensitive categories while leaving non-sensitive objects and background intact for downstream analytics. The framework supports two comp…
- Kategoria arxiv
- cs.CR
- Kategoria
- Kryptografia i bezpieczeństwo