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

Robust approach to tracking human motion in real scenes

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 $31
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

3 Author(s)
Assereto, M. ; Dept. of Biophys. & Electron. Eng., Genoa Univ. ; Figari, G. ; Tesei, A.

A computational system for estimating the positions and the movements of human bodies interacting in real scenes is described. The approach consists of three steps: mathematical modelling of the human body; extraction and matching of corresponding 2D features from a sequence of images; estimation of the motion and structure parameters by using Kalman filtering

Published in:

Electronics Letters  (Volume:30 ,  Issue: 24 )

Date of Publication:

24 Nov 1994

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.