• DocumentCode
    2142893
  • Title

    Ambient intelligence for security in public parks: the LAICA project

  • Author

    Cucchiara, R. ; Prati, A. ; Vezzani, R.

  • Author_Institution
    Univ. of Modena & Reggio Emilia, Italy
  • fYear
    2005
  • fDate
    7-8 June 2005
  • Firstpage
    139
  • Lastpage
    143
  • Abstract
    In this paper, we address the exploitation of computer vision techniques to develop multimedia services and automatic monitoring systems related to the security and the privacy in public areas. The research is part of a two-year Italian project called LAICA, intended to provide advanced services for citizens and public officers. Citizens want fast and friendly Web access to public places, to see the environment in real-time without violating the privacy laws. Public officers and policy centres want a fast and reactive monitoring system, capable to automatically detect dangerous situations, given the huge amount of cameras that can not be monitored simultaneously by human operators. In this work, we describe the project and the defined methodologies in multicamera video mosaicing, people tracking and consistent labelling and access to processed data with face obscuration.
  • Keywords
    Web sites; artificial intelligence; cameras; computer vision; computerised monitoring; face recognition; image segmentation; information retrieval; multimedia communication; public administration; security; tracking; video signal processing; Italian project; LAICA; Laboratory of Ambient Intelligence for a Friendly City; automatic monitoring system; computer vision technique; consistent labelling; face obscuration; friendly Web access; multicamera video mosaicing; multimedia service; people tracking; policy centre; privacy law; processed data access; public officer; public park security; reactive monitoring system;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Imaging for Crime Detection and Prevention, 2005. ICDP 2005. The IEE International Symposium on
  • ISSN
    0537-9989
  • Print_ISBN
    0-86341-535-0
  • Type

    conf

  • DOI
    10.1049/ic:20050086
  • Filename
    1515880