• DocumentCode
    3013152
  • Title

    Vision system for human-robot interface

  • Author

    Islam, Md Ezharul ; Begum, Nasima ; Bhuiyan, Md Al-Amin

  • Author_Institution
    Jahangirnagar Univ., Dhaka
  • fYear
    2008
  • fDate
    24-27 Dec. 2008
  • Firstpage
    415
  • Lastpage
    419
  • Abstract
    A vision system has been developed for human-robot symbiosis. The two novel contributions of this paper are 1) Detection of human faces and 2) Localizing the eye. The method is based on visual attributes of human skin colors and geometrical analysis of face skeleton. This paper introduces a spatial domain filtering method named dasiafuzzily skewed filterpsila which incorporates fuzzy rules for deciding the gray level of pixels in the image in their neighborhoods and takes advantages of both the median and averaging filters. The effectiveness of the method has been justified over human-robot interaction system.
  • Keywords
    face recognition; filtering theory; human-robot interaction; image colour analysis; robot vision; fuzzily skewed filter; geometrical face skeleton analysis; human face detection; human skin colors; human-robot interaction system; vision system; Face detection; Filtering; Filters; Humans; Image color analysis; Machine vision; Pixel; Skeleton; Skin; Symbiosis; AIBO; Eye Localization; Face Detection; Human-Machine Interface; Skin Color Segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology, 2008. ICCIT 2008. 11th International Conference on
  • Conference_Location
    Khulna
  • Print_ISBN
    978-1-4244-2135-0
  • Electronic_ISBN
    978-1-4244-2136-7
  • Type

    conf

  • DOI
    10.1109/ICCITECHN.2008.4803034
  • Filename
    4803034