ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

Face Detection Using Skin Likelihood with Mean Shift Tracking For Digital Video Processing?

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 5)

Publication Date:

Authors : ; ; ;

Page : 371-376

Keywords : Skin-color modeling; Self-Organizing Mixture Network;

Source : Downloadexternal Find it from : Google Scholarexternal


Face detection is an important early step in many computer vision systems. By using pixel-wise detectors, spatial analysis of skin probability and skin regions segmentation, a new method for face detection is introduced. In this project, we proposed and implemented a modified self-organizing mixture network (SOMN) which specifies the distribution of objects in image, skin and non-skin color model based on sample chrominance values, skin likely-hood to exactly identify skin region of interest from image and finally Bayesian Decision Rule is applied to specify c as skin color or non-skin color. Finally, we present results of an extensive experimental study which clearly indicate high competitiveness of the proposed method and its relevance to gesture recognition.

Last modified: 2014-05-20 23:54:44