• Log In
    New user? Click here to register.Have you forgotten your password?
  • Communities & Collections
  • All of Repository
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Ye, ZhongFu"

Now showing 1 - 1 of 1
Results Per Page
Sort Options
  • Loading...
    Thumbnail Image
    Item
    Scale Invariant Static Hand-postures Detection using Extended Higher-order Local Autocorrelation Features
    (Foundation of Computer Science, 2016-02) Bulugu, Isack; Ye, ZhongFu
    This paper presents scale invariant static hand postures detection methods using extended HLAC features extractedfrom Log-Polar images. Scale changes of a handposture in an image are represented as shift in Log-Polar image. Robustness of the method is achieved through extracting spectral features from theeach row of the Log-Polar image. Linear Discriminant Analysis was used to combine features with simple classification methods in order to realize scale invariant hand postures detection and classification.The method was successful tested by performing experiment using NSU hand posture dataset images which consists 10 classes of postures, 24 samples of images per class, which are captured by the position and size of the hand within the image frame. The results showed that the detection rate using ExtendedHLAC can averaged reach 94.63% higher than using HLAC features on a Intel Core i5-4590 CPU running at 3.3 GHz.

University of Dar es Salaam © 2025

  • RIMS
  • UDSM MAIL
  • ARIS
  • LIBRARY REPOSITORY