Efficient Privacy Protection in Video Surveillance by StegoScrambling
Abstract
This paper presents a near lossless reversible system which allows a user to protect privacy in video surveillance (or still images) by replacing sensitive RofIs (Regions of interest) by its edges using steganography while keeping visual quality needed for security almost in real time. Our proposed system outperforms the state-of-the-art methods by fulfilling four criteria which are near lossless Reversible, Fast Computation (integrated in real time), Usability (preserves shape and motion of people to still recognize events) and Privacy protection (no more possibility to recognize people). The effectiveness of the proposed filter has been demonstrated using some face recognition algorithms on different images.
Domains
Computer Science [cs]
Origin : Files produced by the author(s)
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