• DocumentCode
    2266053
  • Title

    Motion segmentation by SCC on the hopkins 155 database

  • Author

    Chen, Guangliang ; Lerman, Gilad

  • Author_Institution
    Sch. of Math., Univ. of Minnesota, Minneapolis, MN, USA
  • fYear
    2009
  • fDate
    Sept. 27 2009-Oct. 4 2009
  • Firstpage
    759
  • Lastpage
    764
  • Abstract
    We apply the Spectral Curvature Clustering (SCC) algorithm to a benchmark database of 155 motion sequences, and show that it outperforms all other state-of-the-art methods. The average misclassification rate by SCC is 1.41% for sequences having two motions and 4.85% for three motions.
  • Keywords
    image classification; image motion analysis; image segmentation; image sequences; pattern clustering; Hopkins 155 database; misclassification rate; motion segmentation; motion sequences; spectral curvature clustering; Computer vision; Conferences; Databases; Motion segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision Workshops (ICCV Workshops), 2009 IEEE 12th International Conference on
  • Conference_Location
    Kyoto
  • Print_ISBN
    978-1-4244-4442-7
  • Electronic_ISBN
    978-1-4244-4441-0
  • Type

    conf

  • DOI
    10.1109/ICCVW.2009.5457626
  • Filename
    5457626
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2266053