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

Real-Time Human Pose Estimation: A Case Study in Algorithm Design for Smart Camera Networks

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)
Chen Wu ; Dept. of Electr. Eng., Stanford Univ., Stanford, CA ; Aghajan, H.

Monitoring human activities finds novel applications in smart environment settings. Examples include immersive multimedia and virtual reality, smart buildings and occupancy-based services, assisted living and patient monitoring, and interactive classrooms and teleconferencing. A network of cameras can enable detection and interpretation of human events by utilizing multiple views and collaborative processing. Distributed processing of acquired videos at the source camera facilitates operation of scalable vision networks by avoiding transfer of raw images. This allows for efficient collaboration between the cameras under the communication and latency constraints, as well as being motivated by aiming to preserve the privacy of the network users (no image transfer out of the camera) while offering services in applications such as assisted living or virtual placement. In this paper, collaborative processing and data fusion techniques in a multicamera setting are examined in the context of human pose estimation. Multiple mechanisms for information fusion across the space (multiple views), time, and different feature levels are introduced to meet system constraints and are described through examples.

Published in:

Proceedings of the IEEE  (Volume:96 ,  Issue: 10 )

Date of Publication:

Oct. 2008

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.