• DocumentCode
    116747
  • Title

    Robust hand segmentation and tracking to illumination variation

  • Author

    Kook-Yeol Yoo

  • Author_Institution
    Dept. of ICE, Yeungnam Univ., Kyungsan, South Korea
  • fYear
    2014
  • fDate
    10-13 Jan. 2014
  • Firstpage
    286
  • Lastpage
    287
  • Abstract
    In this paper, we propose a hand segmentation and tracking algorithm under environment with illumination variation. The initial HSV histogram is computed by the rough HSV ranges of human skin and changed region. The histogram is updated by using the HSV pixel values in the current hand region and changed region. For the accurate update of histogram, other skin region is not used during histogram update. The empirical results show that the proposed method accurately tracks the predefined hand and effectively rules out other skin regions, such as the other hand or face.
  • Keywords
    gesture recognition; image segmentation; HSV pixel values; changed region; hand region; histogram update; human skin; illumination variation; initial HSV histogram; robust hand segmentation; robust hand tracking; rough HSV ranges; skin region; Face; Filtering; Histograms; Image color analysis; Image segmentation; Lighting; Skin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ICCE), 2014 IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    2158-3994
  • Print_ISBN
    978-1-4799-1290-2
  • Type

    conf

  • DOI
    10.1109/ICCE.2014.6776007
  • Filename
    6776007