• DocumentCode
    2237187
  • Title

    Accurate and fast hand-forearm segmentation algorithm based on silhouette

  • Author

    Bosheng Wang ; Jiaqi Xu

  • Author_Institution
    Multimedia Commun. & Pattern Recognition Labs., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2012
  • fDate
    Oct. 30 2012-Nov. 1 2012
  • Firstpage
    976
  • Lastpage
    979
  • Abstract
    Segmentation of the hand from an image is a necessary step for many applications e.g. hand tracking, gesture recognition. One of the major problems is the hand-forearm segmentation. We propose mathematic model based on geometrical features of silhouette shape to address this problem. Then an accurate and effective approximation algorithm is proposed to obtain the solution of the model. Finally a complete hand segmentation algorithm is realized by using the Kinect sensor. The experiment result proves that our algorithm is accurate and fast.
  • Keywords
    approximation theory; feature extraction; image segmentation; image sensors; Kinect sensor; approximation algorithm; complete hand segmentation algorithm; geometrical features; gesture recognition; hand tracking; hand-forearm segmentation algorithm; image segmentation; silhouette shape; Approximation algorithms; Gesture recognition; Image segmentation; Mathematical model; Three-dimensional displays; Wrist; Approximation algorithm; Geometrical features; Hand-forearm segmentation; Mathematic model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-1855-6
  • Type

    conf

  • DOI
    10.1109/CCIS.2012.6664322
  • Filename
    6664322