TY - GEN
T1 - A distributed many-camera system for multi-person tracking
AU - Lenz, Claus
AU - Röder, Thorsten
AU - Eggers, Martin
AU - Amin, Sikandar
AU - Kisler, Thomas
AU - Radig, Bernd
AU - Panin, Giorgio
AU - Knoll, Alois
N1 - Funding Information:
This work was partly supported by the cluster of excellence CoTeSys – Cognition
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=78649500628&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-16917-5_22
DO - 10.1007/978-3-642-16917-5_22
M3 - Conference contribution
AN - SCOPUS:78649500628
SN - 3642169163
SN - 9783642169168
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 217
EP - 226
BT - Ambient Intelligence - First International Joint Conference, AmI 2010, Proceedings
T2 - 1st International Joint Conference on Ambient Intelligence, AmI 2010
Y2 - 10 November 2010 through 12 November 2010
ER -