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

Markerless human motion capture: An application of simulated annealing and Fast Marching Method

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

1 Author(s)
Yifan Lu ; Dept. of Inf. Eng., Australian Nat. Univ., Canberra, ACT

Research into optical markerless human motion capture has attracted significant attention. However, the complexity of the human anatomy, ambiguities introduced by lacking full-perspective view data and noises involved in data processing make human motion capture a non-convex, multi-modal optimisation problem in high dimensional space. The proposed method incorporates an isotropic distance map calculated by Fast Marching Method with simulated annealing to efficiently explore the high dimensional space in the probabilistically important directions. This allows simulated annealing to relax the fitness test criteria and work in an incremental fashion, reducing the likelihood of being trapped in local minima. Moreover, instead of using a slow annealing schedule, the annealing progress is controlled by accounting for the shape of the importance distribution, thereby leading to an effective exploration and fast convergence. To improve robustness of tracking, Fast Marching Method is utilised to smooth noisy silhouette images. Finally, several experiments show the efficiency of the proposed method.

Published in:

Pattern Recognition, 2008. ICPR 2008. 19th International Conference on

Date of Conference:

8-11 Dec. 2008

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.