• DocumentCode
    1818520
  • Title

    Robust Dissolve Detection Using Local Feature Tracking

  • Author

    Ko, San ; Jeong, J.G. ; Kim, S.K. ; Kim, J.-Y.

  • Author_Institution
    Samsung Adv. Inst. of Technol., Gyeonggi-Do
  • fYear
    2007
  • fDate
    Feb. 2007
  • Firstpage
    46
  • Lastpage
    46
  • Abstract
    In this paper we propose a novel dissolve detection algorithm which overcomes the defects of previously suggested algorithms. Differentiating dissolve from the effect aroused by camera motion or objects movement has long been a problem irritating the researchers and not settled thoroughly yet. In our approach, feature points are tracked so that inter-frame comparison can be executed between the exactly corresponding local features. This method reduces the false alarm caused by motions and improves the acuity of inter-frame comparison greatly. The experimental result shows the superiority of local feature comparison method to that of global feature
  • Keywords
    feature extraction; image motion analysis; object detection; camera motion; dissolve detection; interframe comparison; local feature tracking; Cameras; Change detection algorithms; Computer vision; Detection algorithms; Gunshot detection systems; Histograms; Rhythm; Robustness; Shape; Spatiotemporal phenomena;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applications of Computer Vision, 2007. WACV '07. IEEE Workshop on
  • Conference_Location
    Austin, TX
  • ISSN
    1550-5790
  • Print_ISBN
    0-7695-2794-9
  • Electronic_ISBN
    1550-5790
  • Type

    conf

  • DOI
    10.1109/WACV.2007.55
  • Filename
    4118775