Publication
Title
Face detection hindering
Author
Abstract
In this paper, we develop a face detection hindering method, as a means of preventing the threats to people's privacy, automatic video analysis may pose. Face detection in images or videos is the first step in human-centered video analysis to be followed, e.g. by automatic face recognition. Therefore, by hindering face detection, we also render automatic face recognition improbable. To this end, we examine the application of two methods. First, we consider a naive approach, i.e., we simply use additive or impulsive noise to the input image, until the point where the face cannot be automatically detected anymore. Second, we examine the application of the SVD-DID face de-identification method. Our experimental results denote that both methods attain high face detection failure rates.
Language
English
Source (book)
2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 14-16 November, 2017, Montreal, QC, Canada
Publication
New york : 2017
ISBN
978-1-5090-5990-4
DOI
10.1109/GLOBALSIP.2017.8308673
Volume/pages
(2017) , p. 403-407
ISI
000450053100081
Full text (Publisher's DOI)
UAntwerpen
Publication type
Subject
External links
Web of Science
Record
Identifier
Creation 17.10.2023
Last edited 17.06.2024
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