Paper Info
Title
Extraction of Hand Gestures with Adaptive Skin Color Models and Its Applications to Meeting Analysis
Abstract
We present an adaptive skin color model for hand gesture tracking which is applied to cross-modal analysis of planning meetings. We build a skin color model with the Gaussian distribution and a skin color filter for each participant in meetings. By combining with the vector coherence mapping (VCM) algorithm, we track hand motion and obtain 3D trajectories. The hand gesture stream is extracted from hand motion trajectories. Different skin color models are created for different people to handle the differences of skin color. We update each model dynamically to adapt changes of environments. A parallel system has been implemented to track and extract hand motion trajectories. Examples of hand motion gesture tracking in meeting environments are provided. The applications of the adaptive skin color model can increase the speed of hand tracking
Year
DOI
Venue
2006
10.1109/ISM.2006.75
ISM
Keywords
Field
DocType
hand motion tracking,hand gesture extraction,cross-modal analysis,skin color filter,adaptive skin color models,skin color,hand motion trajectory,different skin color model,gaussian distribution,hand gesture tracking,hand motion gesture tracking,feature extraction,optical filters,hand gestures,hand tracking,3d trajectories,hand gesture stream,vector coherence mapping,gesture recognition,adaptive skin color model,vcm algorithm,hand motion,planning meeting,image colour analysis,image motion analysis,parallel systems,modal analysis
Computer vision,Pattern recognition,Gesture,Computer science,Gesture recognition,Feature extraction,Coherence (physics),Gaussian,Artificial intelligence,Color model,Color gel,Meeting analysis
Conference
ISBN
Citations 
PageRank 
0-7695-2746-9
7
0.65
References 
Authors
4
3
Name
Order
Citations
PageRank
Yingen Xiong143730.25
Bing Fang2618.64
Francis Quek3606.56