• DocumentCode
    3356078
  • Title

    Moving object detection under free-moving camera

  • Author

    Kim, Jiman ; Ye, Guensu ; Kim, Daijin

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Pohang Univ. of Sci. & Technol., Pohang, South Korea
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    4669
  • Lastpage
    4672
  • Abstract
    The detection of moving objects in complex environments with various types of motion is a difficult problem because the camera motion and the object motion are mixed. This paper proposes a moving object detection algorithm that uses motion clustering and classification from only two consecutive image frames captured by a free-moving camera. The proposed moving object detection has no assumption about the camera motion and the environmental conditions. The experimental results show that the proposed moving object detection is accurate within an accuracy of 7 pixels on the average.
  • Keywords
    cameras; image classification; object detection; pattern clustering; camera motion; complex environments; free-moving camera; motion classification; motion clustering; moving object detection; object motion; Cameras; Clustering algorithms; Data models; Eigenvalues and eigenfunctions; Object detection; Optical scattering; Robot vision systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5652848
  • Filename
    5652848