in the information age, the protection of the right to privacy has evolved to issues related to the collection, use, and dissemination of personal data in information systems, particularly with regard to the image in video surveillance. Therefore it takes a technique or tool to protect and maintain the privacy of people, so it is not abused by people who are not responsible. To achieve this goal, many approaches have been proposed using algorithms and filters that are applied directly to the system. With so many developments in research in this field, this paper provides a comparison of several existing methods comprehensively through the classification with their respective weaknesses and advantages. In addition, examples of some techniques are used visually, so as to get a complete picture of this method of privacy protection.

Original languageEnglish
Title of host publicationProceedings of TENCON 2018 - 2018 IEEE Region 10 Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781538654576
Publication statusPublished - 2 Jul 2018
Event2018 IEEE Region 10 Conference, TENCON 2018 - Jeju, Korea, Republic of
Duration: 28 Oct 201831 Oct 2018

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450


Conference2018 IEEE Region 10 Conference, TENCON 2018
Country/TerritoryKorea, Republic of


  • Face detection
  • Face regions
  • Privacy protection


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