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

A Vision-Based Real Time Motion Synthesis System

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.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Xin Wang ; Coll. of Comput. Sci. & Technol., Zhejiang Univ. of Technol., Hangzhou, China ; Minqian Li ; Sheng Liu ; Qing Ma

This paper introduces the design of a real time vision-based motion synthesis system. the system requires user to wear the markers in a certain color. Based on that, several novel algorithms were used for feature detection and feature tracking under occlusion by estimating the velocity of missing features based on the prior, smoothness and fitness term. These algorithms ensured the accuracy and low computation cost of reconstruction of the 3D points in real time. the low-dimensional control signals from user's marker points were first used to construct a series of local models. When constructing these local models, we preprocess motion capture data to K-nearest neighborhood graph and store these data in KD-tree to ensure model building is real-time. in animation synthesis phase, we used an approach named locally weighted linear regression to synthesis the animation data closest to current pose. Results showed that our system can successfully synthesize three kinds of motion: running, walking and jumping.

Published in:

Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on  (Volume:2 )

Date of Conference:

28-29 Oct. 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.