Paper Info
Title
A distributed many-camera system for multi-person tracking
Abstract
This article presents a modular, distributed and scalable many-camera system designed towards tracking multiple people simultaneously in a natural human-robot interaction scenario set in an apartment mock-up. The described system employs 40 high-resolution cameras networked to 15 computers, redundantly covering an area of approximately 100 square meters. The unique scale and set-up of the system require novel approaches for vision-based tracking, especially with respect to the transfer of targets between the different tracking processes while preserving the target identities. We propose an integrated approach to cope with these challenges, and focus on the system architecture, the target information management, the calibration of the cameras and the applied tracking methodologies themselves.
Year
DOI
Venue
2010
10.1007/978-3-642-16917-5_22
AMI
Keywords
Field
DocType
multiple people,scalable many-camera system,multi-person tracking,integrated approach,target information management,target identity,system architecture,different tracking process,apartment mock-up,vision-based tracking,high-resolution camera,system design,human robot interaction,information management
Computer vision,Information management,Simulation,Computer science,Artificial intelligence,Modular design,Systems architecture,Scalability
Conference
Volume
ISSN
ISBN
6439
0302-9743
3-642-16916-3
Citations 
PageRank 
References 
0
0.34
10
Authors
8
Name
Order
Citations
PageRank
Claus Lenz1767.53
Thorsten Röder261.57
Martin Eggers381.15
Sikandar Amin41948.52
Thomas Kisler5133.81
Bernd Radig6460110.42
Giorgio Panin711914.18
Alois Knoll Knoll81700271.32