Notification:
We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

Capture and synthesis of human motion in video sequences

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)
Jia-Ching Cheng ; Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA ; Moura, J.M.F.

We present a knowledge-based framework to capture and represent human walkers in video. The system models the human body as an articulated object of twelve rigid body-parts whose motions are almost periodic and subject to dynamic constraints. The resulting representation is compact and composed of the motion, shape, and texture for each of the body-parts. We apply the representation to regenerate the original sequence and to synthesize articulated 3D human actions

Published in:

Multimedia Signal Processing, 1998 IEEE Second Workshop on

Date of Conference:

7-9 Dec 1998