Accurate and Privacy-Preserving Person Localization Using Federated-Learning and the Camera Surveillance Systems of Public Places

Accurate and Privacy-Preserving Person Localization Using Federated-Learning and the Camera Surveillance Systems of Public Places

In this paper we propose an accurate and privacy-preserving scheme that enables a law enforcement agency to locate persons of interest using the camera surveillance systems of public places. Comparing to the existing schemes that measure the Euclidean distance to locate persons using their embedding...

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Bibliographic Details
Main Authors: Mahmoud Nabil, Ahmed Sherif, Mohamed Mahmoud, Waleed Alsmary, Maazen Alsabaan
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Privacy-preservation
security
person localization
inner product over encrypted data
surveillance systems
Online Access:https://ieeexplore.ieee.org/document/9917500/

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