• DocumentCode
    457029
  • Title

    Detection and Recognition of Moving Objects by Using Motion Invariants

  • Author

    Ito, Satoshi ; Otsu, Nobuyuki

  • Author_Institution
    Graduate Sch. of Inf. Sci. & Technol., Tokyo Univ.
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    683
  • Lastpage
    686
  • Abstract
    Motion invariant features, which are called either absolute or relative invariant linear features, are useful for detection and recognition of moving objects from image streams. We conducted simple experiments using these invariant features. The first experiment tested our method for moving object recognition with a fixed camera using absolute invariant linear features. In the second experiment, another method was used to detect moving objects with a moving camera using both relative and absolute invariant linear features. The results of these experiments confirmed the effectiveness of the proposed methods
  • Keywords
    feature extraction; image motion analysis; image recognition; object detection; image streams; invariant linear features; motion invariants; moving object detection; moving object recognition; Cameras; Feature extraction; Image motion analysis; Image recognition; Indium tin oxide; Information science; Motion detection; Object detection; Robot vision systems; Streaming media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.438
  • Filename
    1698984