• DocumentCode
    381432
  • Title

    Automatic distinction of camera and object motions in video sequences

  • Author

    Oh, JungHwan ; Sankuratri, Praveen

  • Author_Institution
    Dept. of Comput. Sci. Eng., Texas Univ., Arlington, TX, USA
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    81
  • Abstract
    The motions in a video sequence are caused by two different sources which are camera and object(s). In other words, these motions can be divided into camera motions, object motions and combination of both. To express different motions accurately, therefore, we need to distinguish the different motions generated by the different sources. The goal of this research is to distinguish camera and object(s) motions for video content analyzing and indexing purposes. To do this, we first measure overall motions and detect camera motion changes in a shot using the techniques in our previous works, then distinguish object and camera motions from overall motions using the technique proposed in this paper. Not only the degrees (amounts) but also the locations of motions are computed and presented accurately by a two dimensional matrix. Our preliminary experimental results show the possibility that the proposed technique can distinguish these motions as expected.
  • Keywords
    image sequences; object detection; video signal processing; automatic distinction; camera motions; change detection; object motions; two dimensional matrix; video sequences; Cameras; Image motion analysis; Indexing; Motion analysis; Motion detection; Motion measurement; Object detection; Optical computing; Optical filters; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2002. ICME '02. Proceedings. 2002 IEEE International Conference on
  • Print_ISBN
    0-7803-7304-9
  • Type

    conf

  • DOI
    10.1109/ICME.2002.1035723
  • Filename
    1035723