• DocumentCode
    2087777
  • Title

    Visual data mining using omni-directional sensor

  • Author

    Kato, Koji ; Shibata, Tomoyuki ; Ishiguro, Hiroshi

  • Author_Institution
    Dept. of Media Archit., Future Univ. Hakodate, Hokkaido, Japan
  • fYear
    2003
  • fDate
    30 July-1 Aug. 2003
  • Firstpage
    281
  • Lastpage
    286
  • Abstract
    In this paper, we propose a method that analyses images recorded throughout long term. Conventional methods used feature extraction and geometric technique, when these images were analyzed. However, the problem of the lack of information occurs in such methods. Then, we propose the method that uses pattern conversion of the images and statistical technique. Moreover, we experimented, and the effectiveness of our method was verified.
  • Keywords
    data mining; image classification; image sensors; object detection; pattern clustering; statistical analysis; image acquisition; image classification; images recording; information extraction; object detection; omni-directional sensor; pattern conversion; spatio-temporal image; statistical technique; visual data mining; Cameras; Data mining; Image analysis; Image motion analysis; Image sequence analysis; Image sequences; Information analysis; Layout; Motion analysis; Object detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multisensor Fusion and Integration for Intelligent Systems, MFI2003. Proceedings of IEEE International Conference on
  • Print_ISBN
    0-7803-7987-X
  • Type

    conf

  • DOI
    10.1109/MFI-2003.2003.1232671
  • Filename
    1232671