• DocumentCode
    1931012
  • Title

    PhD forum: Flexible clustering in smart camera networks

  • Author

    Dieber, Bernhard ; Rinner, Bernhard

  • Author_Institution
    Video & Security Technol., Austrian Inst. of Technol., Vienna, Austria
  • fYear
    2009
  • fDate
    Aug. 30 2009-Sept. 2 2009
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Clustering is an important concept for structuring large networks of cameras. In this research we investigate the various trade offs of clustering in networks of smart cameras. Major research questions in this context are (i) how to model clustering, (ii) how to deal with the heterogeneity in large camera networks, and (iii) how to integrate clustering in real-world networks. We have developed a flexible and scalable software suite that supports clustering in camera networks. We present first results in a multi-camera person tracking case study.
  • Keywords
    cameras; pattern clustering; target tracking; flexible clustering; multi-camera person tracking; smart camera networks; Application software; Fuses; Monitoring; Pipelines; Prototypes; Scalability; Smart cameras; Software prototyping; Software testing; Surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Smart Cameras, 2009. ICDSC 2009. Third ACM/IEEE International Conference on
  • Conference_Location
    Como
  • Print_ISBN
    978-1-4244-4620-9
  • Electronic_ISBN
    978-1-4244-4620-9
  • Type

    conf

  • DOI
    10.1109/ICDSC.2009.5289392
  • Filename
    5289392