• DocumentCode
    249564
  • Title

    Automatic clothes segmentation for soft biometrics

  • Author

    Freire-Obregon, D. ; Castrillon-Santana, M. ; Ramon-Balmaseda, E. ; Lorenzo-Navarro, J.

  • Author_Institution
    SIANI, Univ. de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    4972
  • Lastpage
    4976
  • Abstract
    During the last decade, researchers have verified that clothing can provide information for gender recognition. However, before extracting features, it is necessary to segment the clothing region. We introduce a new clothes segmentation method based on the application of the GrabCut technique over a trixel mesh, obtaining very promising results for a close to real time system. Finally, the clothing features are combined with facial and head context information to outperform previous results in gender recognition with a public database.
  • Keywords
    clothing; feature extraction; image segmentation; visual databases; GrabCut technique; automatic clothe segmentation; clothing; clothing feature extraction; clothing region; facial information; gender recognition; head context information; public database; trixel mesh; Accuracy; Clothing; Computer vision; Face; Feature extraction; Image segmentation; Clothing; Gender recognition; GrabCut; TriToM; Trixels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7026007
  • Filename
    7026007
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=249564