• DocumentCode
    2939232
  • Title

    A new and improves skin detection method using RGB vector space

  • Author

    Aznaveh, Mohsen Mahmoudi ; Mirzaei, Hamidreza ; Roshan, Emitis ; Saraee, Mohamadhosein

  • Author_Institution
    Electr. & Comput. Dept., Isfahan Univ. of Technol., Isfahan
  • fYear
    2008
  • fDate
    20-22 July 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper describes a new method for skin detection based on RGB vector space. Skin color has proven to be a useful cue for pre-process of face detection, localization and tracking. Image content filtering, content aware video compression and image color balancing applications can also benefit from automatic detection of skin in images. Numerous works for skin color segmentation and detection have been reported in the literature in the last few years. In this paper first few pixel based methods are presented and then vector calculations as an efficient approach for determination of skin area based on implicit mathematical model is proposed. In order to evaluate our method we performed an experimental study. Results obtained are very promising and shows important advantages over other techniques.
  • Keywords
    data compression; face recognition; image colour analysis; image segmentation; skin; video coding; RGB vector space; content aware video compression; face detection; image color balancing application; image content filtering; implicit mathematical model; skin color segmentation; skin detection method; vector calculations; Cameras; Color; Face detection; Filtering; Image segmentation; Mathematical model; Robustness; Skin; Space technology; Video compression; Color segmentation; RGB vector space; color space; image processing; model selection; skin detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals and Devices, 2008. IEEE SSD 2008. 5th International Multi-Conference on
  • Conference_Location
    Amman
  • Print_ISBN
    978-1-4244-2205-0
  • Electronic_ISBN
    978-1-4244-2206-7
  • Type

    conf

  • DOI
    10.1109/SSD.2008.4632786
  • Filename
    4632786