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

Human pose estimation from a single view point, real-time range sensor

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

2 Author(s)
Siddiqui, M. ; Inst. for Robot. & Intell. Syst., Univ. of Southern California, Los Angeles, CA, USA ; Medioni, G.

We estimate and track articulated human poses in sequences from a single view, real-time range sensor. We use a data driven MCMC approach to find an optimal pose based on a likelihood that compares synthesized depth images to the observed depth image. To speed up convergence of this search, we make use of bottom up detectors that generate candidate head, hand and forearm locations. Our Markov chain dynamics explore solutions about these parts and thus combine bottom up and top down processing. The current performance is 10 frames per second. We provide quantitative performance evaluation using hand annotated data. We demonstrate significant improvement over a baseline ICP approach. This algorithm is then adapted to estimate the specific shape parameters of subjects for use in tracking. In particular, limb dimensions are included in the human pose parametrization and are automatically estimated for each subject in short training sequences. Tracking performance is quantitatively evaluated using these person specific trained models.

Published in:

Computer Vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE Computer Society Conference on

Date of Conference:

13-18 June 2010

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.