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Deep Learning Approach Protecting Privacy in Camera-Based Critical Applications

2021-10-04 19:16:27
Gautham Ramajayam, Tao Sun, Chiu C. Tan, Lannan Luo, Haibin Ling
arXiv_CV
         
Abstract

Many critical applications rely on cameras to capture video footage for analytical purposes. This has led to concerns about these cameras accidentally capturing more information than is necessary. In this paper, we propose a deep learning approach towards protecting privacy in camera-based systems. Instead of specifying specific objects (e.g. faces) are privacy sensitive, our technique distinguishes between salient (visually prominent) and non-salient objects based on the intuition that the latter is unlikely to be needed by the application.

Abstract (translated)

URL

https://arxiv.org/abs/2110.01676

PDF

https://arxiv.org/pdf/2110.01676.pdf

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