• DocumentCode
    2015766
  • Title

    The privacy challenges of in-depth video analytics

  • Author

    Piatrik, Tomas ; Fernandez, Virginia ; Izquierdo, Ebroul

  • Author_Institution
    Queen Mary Univ. of London Mile End, London, UK
  • fYear
    2012
  • fDate
    17-19 Sept. 2012
  • Firstpage
    383
  • Lastpage
    386
  • Abstract
    The increasing need for both automated and privacy-respecting CCTV systems adds many challenges to the tasks of Video Analytics. The growing capabilities of automated surveillance systems lead to the automatic extraction and processing of complex and potentially personal data related to individuals who may not even be aware of it. This paper discusses the issues related to the processing of potentially sensitive information extracted from various computer vision algorithms and techniques such as person tracking, soft biometrics, behaviour analysis or multi-modal person identification, and delivers insights regarding technical solutions and guidelines for achieving a higher level of privacy compliance.
  • Keywords
    closed circuit television; computer vision; data privacy; video surveillance; automated CCTV systems; automated surveillance systems; behaviour analysis; computer vision algorithms; in-depth video analytics; multimodal person identification; person tracking; privacy challenges; privacy compliance; privacy-respecting CCTV systems; sensitive information processing; soft biometrics; Cameras; Data privacy; Privacy; Streaming media; Video surveillance; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Signal Processing (MMSP), 2012 IEEE 14th International Workshop on
  • Conference_Location
    Banff, AB
  • Print_ISBN
    978-1-4673-4570-5
  • Electronic_ISBN
    978-1-4673-4571-2
  • Type

    conf

  • DOI
    10.1109/MMSP.2012.6343473
  • Filename
    6343473