• DocumentCode
    3632058
  • Title

    Alignment based extraction of isolated signs from sign language videos

  • Author

    Pinar Santemiz;Oya Aran;Murat Saraclar;Lale Akarun

  • Author_Institution
    Bilgisayar M?hendisli?i B?l?m?, Bo?azi?i ?niversitesi, Turkey
  • fYear
    2009
  • fDate
    4/1/2009 12:00:00 AM
  • Firstpage
    532
  • Lastpage
    535
  • Abstract
    This paper presents a method to extract isolated signs from continuous sign language videos. We use sequences that approximately contain the sign that we are interested in and align the sequences to find the exact start and end frames. We compare different feature extraction methods, different alignment methods, and assess the performance of our system on a database from Turkish sign language.
  • Keywords
    "Handicapped aids","Videos","Feature extraction","Spatial databases"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference, 2009. SIU 2009. IEEE 17th
  • ISSN
    2165-0608
  • Print_ISBN
    978-1-4244-4435-9
  • Type

    conf

  • DOI
    10.1109/SIU.2009.5136450
  • Filename
    5136450
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3632058