By Topic

View-invariant 3D human body pose reconstruction using a monocular video camera

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)
Ke, Shian-Ru ; Dept. of Electr. Eng., Univ. of Washington, Seattle, WA, USA ; Jenq-Neng Hwang ; Kung-Ming Lan ; Shen-Zheng Wang

This paper proposes a 3D human body pose reconstruction system based on videos captured from any perspective view of a monocular camera. The appearance, color and temporal information extracted from the video frames are effectively combined to accurately track 2D body features. This view invariant system overcomes the challenges of requiring the modeled human to be viewed from a pre-specified angular perspective so as to initialize the 3D body model configuration, as well as to continuously find the best match between the tracked 2D features with the 3D model based on the downhill simplex algorithm. The matching information of 3D poses are also fed back to assist 2D tracking, which eventually provides more reliable 3D tracking performance.

Published in:

Distributed Smart Cameras (ICDSC), 2011 Fifth ACM/IEEE International Conference on

Date of Conference:

22-25 Aug. 2011