A distributed many-camera system for multi-person tracking

Claus Lenz, Thorsten Röder, Martin Eggers, Sikandar Amin, Thomas Kisler, Bernd Radig, Giorgio Panin, Alois Knoll

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


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.

Original languageEnglish
Title of host publicationAmbient Intelligence - First International Joint Conference, AmI 2010, Proceedings
Number of pages10
StatePublished - 2010
Event1st International Joint Conference on Ambient Intelligence, AmI 2010 - Malaga, Spain
Duration: 10 Nov 201012 Nov 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6439 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference1st International Joint Conference on Ambient Intelligence, AmI 2010


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