Minor Privacy Protection by Real-time Children Identification and Face Scrambling at the Edge

Fitwi, Alem and Yuan, Meng and Nikouei, Seyed Yahya and Chen, Yu (2020) Minor Privacy Protection by Real-time Children Identification and Face Scrambling at the Edge. EAI Endorsed Transactions on Security and Safety, 7 (23). e3. ISSN 2032-9393

[thumbnail of eai.13-7-2018.164560.pdf]
Available under License Creative Commons Attribution No Derivatives.

Download (13MB) | Preview


The collection of personal information about individuals, including the minor members of a family, by closed circuit television (CCTV) cameras creates a lot of privacy concerns. Revealing children’s identifications or activities may compromise their well-being. In this paper, we propose a novel Minor Privacy protection solution using Real-time video processing at the Edge (MiPRE). It is refined to be feasible and accurate to identify minors and apply appropriate privacy-preserving measures accordingly. State of the art deep learning architectures are modified and repurposed to maximize the accuracy of MiPRE. A pipeline extracts face from the input frames and identify minors. Then, a lightweight algorithm scrambles the faces of the minors to anonymize them. Over 20,000 labeled sample points collected from open sources are used for classification. The quantitative experimental results show the superiority of MiPRE with an accuracy of 92.1% with near real-time performance.

Item Type: Article
Uncontrolled Keywords: Child Detection, Minor Privacy Protection, Smart Surveillance, Video Feature Extraction, Decentralization
Subjects: H Social Sciences > H Social Sciences (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor IV
Date Deposited: 26 Mar 2021 14:02
Last Modified: 26 Mar 2021 14:02
URI: https://eprints.eudl.eu/id/eprint/2132

Actions (login required)

View Item
View Item