By Topic

Robust Real-Time Vision for a Personal Service Robot in a Home Visual Sensor Network

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)
Kwangsu Kim ; Univ. of Southern California, Los Angeles ; Medioni, G.

We address issues dealing with visual perception for a personal service robot in the intelligent home environment. We identify key visual functionalities necessary for the robot to perform its activities. They include people detection and identification, gesture recognition, and self-localization. We propose an efficient and reliable framework to organize and coordinate the vision sensor nodes: fixed cameras mounted on walls, and earnera(s) on the mobile robot. We propose solutions to the different vision tasks, and present our implementation within this framework, validated with experimental results.

Published in:

Robot and Human interactive Communication, 2007. RO-MAN 2007. The 16th IEEE International Symposium on

Date of Conference:

26-29 Aug. 2007