Cart (Loading....) | Create Account
Close category search window

A 3D gesture recognition framework based on hierarchical visual attention and perceptual organization models

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
2 Author(s)
Gang Hu ; Fac. of Comput. Sci., Dalhousie Univ., Halifax, NS, Canada ; Qigang Gao

Human vision can perceive body movements and actions effortlessly. In contrast, it is still a very challenging task for machines to have comparable performance. Many research results have shown that both visual attention and perceptual organization are crucial for visual perception tasks. In recent years, gesture recognition for HCI has drawn more attention because of high application demands. Based on visual perceptual theories and hypotheses, we propose a 3D gesture recognition framework in a coherent and biologically plausible manner. It mainly includes perceptual gesture feature extraction, hierarchical salience map construction and qualitative reasoning for gesture recognition.

Published in:

Pattern Recognition (ICPR), 2012 21st International Conference on

Date of Conference:

11-15 Nov. 2012

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.