Title
Multi-user identification and efficient user approaching by fusing robot and ambient sensors
Abstract
We describe a novel framework that combines an overhead camera and a robot RGB-D sensor for real-time people finding. Finding people is one of the most fundamental tasks in robot home care scenarios and it consists of many components, e.g. people detection, people tracking, face recognition, robot navigation. Researchers have extensively worked on these components, but as isolated tasks. Surprisingly, little attention has been paid on bridging these components as an entire system. In this paper, we integrate the separated modules seamlessly, and evaluate the entire system in a robot-care scenario. The results show largely improved efficiency when the robot system is aided by the localization system of the overhead cameras.
Year
DOI
Venue
2014
10.1109/ICRA.2014.6907638
ICRA
Keywords
Field
DocType
robot-care scenario,face recognition,overhead camera,mobile robots,image sensors,robot localization system,feature extraction,path planning,object detection,slam (robots),robot rgb-d sensor,multiuser identification,people detection,people tracking,robot navigation,sensor fusion,robot vision
Robot learning,Social robot,Personal robot,Control engineering,Real-time computing,Artificial intelligence,Ubiquitous robot,Robot control,Computer vision,Mobile robot navigation,Engineering,Robot,Mobile robot
Conference
Volume
Issue
ISSN
2014
1
1050-4729
Citations 
PageRank 
References 
3
0.39
31
Authors
4
Name
Order
Citations
PageRank
Ninghang Hu1806.59
Richard Bormann2436.01
Thomas Zwolfer330.39
Ben J. A. Kröse4119478.00