• DocumentCode
    2229351
  • Title

    Video Mining - Learning Patterns of Behaviour via an Intelligent Image Analysis System

  • Author

    Bell, D.A. ; Beck, A. ; Miller, P. ; Wu, Q.X. ; Herrera, A.

  • Author_Institution
    Queen´´s Univ., Belfast
  • fYear
    2007
  • fDate
    20-24 Oct. 2007
  • Firstpage
    460
  • Lastpage
    464
  • Abstract
    In this paper we describe a system for capturing time-varying sequences of behavioural patterns of agents or robots from a video clips. The detailed time slices of action are ´coarsened´ to provide gross, molecular units of behaviour. Combinations of these are then represented in the form of a table, which is mined using rough sets methods here, although various other mining techniques can also be used. Some preliminary experiments are reported to prove the concept.
  • Keywords
    data mining; image sequences; learning (artificial intelligence); mobile robots; robot vision; rough set theory; video signal processing; behavioural patterns; intelligent image analysis system; mobile robot; pattern learning; rough sets methods; time-varying sequences; video mining; Algorithm design and analysis; Artificial intelligence; Data mining; Image analysis; Intelligent systems; Pattern analysis; Robots; Streaming media; Surveillance; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2007. ISDA 2007. Seventh International Conference on
  • Conference_Location
    Rio de Janeiro
  • Print_ISBN
    978-0-7695-2976-9
  • Type

    conf

  • DOI
    10.1109/ISDA.2007.53
  • Filename
    4389651