A Study on Face Masking Scheme in Video Surveillance System

Abstract

In this paper, we analyze face masking schemes in the video surveillance system for protecting the personal privacy from videos acquired by CCTV cameras. Existing face masking schemes have a problem that the face of humans can be identified because face masking setting values cannot be applied as an appropriate value. Through implementation results, we found optimal values for face masking to perfectly protect the personal privacy.