Modeling human bodies from video sequences

Nicola D'Apuzzo; Ralph Plaenkers; Pascal Fua; Armin Gruen; Daniel Thalmann

doi:10.1117/12.333796

14 December 1998 Modeling human bodies from video sequences

Nicola D'Apuzzo, Ralph Plaenkers, Pascal Fua, Armin Gruen, Daniel Thalmann

Proceedings Volume 3641, Videometrics VI; (1998) https://doi.org/10.1117/12.333796
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

In this paper, we show that, given video sequences of a moving person acquired with a multi-camera system, we can track joint locations during the movement and recover shape information. We outline techniques for fitting a simplified model to the noisy 3-D data extracted from the images and a new tracking process based on least squares matching is presented. The recovered shape and motion parameters can be used to either reconstruct the original sequence or to allow other animation models to mimic the subject's actions. Our ultimate goal is to automate the process of building complete and realistic animation models of humans, given a set of video sequences.

Citation Download Citation

Nicola D'Apuzzo, Ralph Plaenkers, Pascal Fua, Armin Gruen, and Daniel Thalmann "Modeling human bodies from video sequences", Proc. SPIE 3641, Videometrics VI, (14 December 1998); https://doi.org/10.1117/12.333796

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available