• DocumentCode
    2518394
  • Title

    Toward human motion search using fingerprinting

  • Author

    Adistambha, Kevin ; Davis, Stephen ; Ritz, Christian H. ; Stirling, David ; Burnett, Ian S.

  • Author_Institution
    Sch. of Electr., Comput., & Telecommun. Eng., Univ. of Wollongong, Wollongong, NSW, Australia
  • fYear
    2012
  • fDate
    2-5 Oct. 2012
  • Firstpage
    1033
  • Lastpage
    1038
  • Abstract
    This paper investigates a `fingerprinting´ technique for describing human motion sequences. This work shows that human motion fingerprints can facilitate the search of human motion within large databases, similar to the fingerprinting approach used for the search of audio and image databases. This paper investigates the extraction of a reliable set of features from human motion capture data sequences that can be combined to generate a unique fingerprint. Results show that the fingerprints could be used to reliably differentiate between unique motions.
  • Keywords
    feature extraction; image motion analysis; image sequences; visual databases; data sequences; feature extraction; fingerprinting technique; human motion search; human motion sequences; large databases; Data mining; Databases; Feature extraction; Fingerprint recognition; Humans; Legged locomotion; Turning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technologies (ISCIT), 2012 International Symposium on
  • Conference_Location
    Gold Coast, QLD
  • Print_ISBN
    978-1-4673-1156-4
  • Electronic_ISBN
    978-1-4673-1155-7
  • Type

    conf

  • DOI
    10.1109/ISCIT.2012.6380843
  • Filename
    6380843