My actions
What's your PUBLISHER policy?
Check with SHERPA/ROMEO whether your PUBLISHER allows you to put your own papers online.
Access
Contact
Format
Export
I want to...

Search


   
Close
Limit to these document types:
Publications
 Journal Articles
 Reviews
 Conference Papers
Monographs
 Books
 Thesis
 Book chapters
 Conference Proceedings
Reports
 Technical Reports
 Working papers
Presentations & Talks
 Posters
 Presentations & Talks
Standards & Patents
 Standards
 Patents
Lectures & Teaching Material
 Teaching documents
 Student projects
Filter by publication status Filter by origin Fulltext availability
 Peer-reviewed publications
 Published  Accepted  Submitted
 Work produced at EPFL
 Publicly available  Restricted access
CONFERENCE PAPER

SwisTrack - A Flexible Open Source Tracking Software for Multi-Agent Systems

Lochmatter, Thomas ; Roduit, Pierre ; Cianci, Chris ; Correll, Nikolaus ; Jacot, Jacques ; Martinoli, Alcherio

Presented at: IEEE/RSJ 2008 International Conference on Intelligent Robots and Systems (IROS 2008), Nice, France, September 22-26, 2008.

Accepted in: Proceedings of the IEEE/RSJ 2008 International Conference on Intelligent Robots and Systems (IROS 2008), 2008, p. 4004-4010

IEEE, 2008.

Vision-based tracking is used in nearly all robotic laboratories for monitoring and extracting of agent positions, orientations, and trajectories. However, there is currently no accepted standard software solution available, so many research groups resort to developing and using their own custom software. In this paper, we present Version 4 of SwisTrack, an open source project for simultaneous tracking of multiple agents. While its broad range of pre- implemented algorithmic components allows it to be used in a variety of experimental applications, its novelty stands in its highly modular architecture. Advanced users can therefore also implement additional customized modules which extend the functionality of the existing components within the provided interface. This paper introduces SwisTrack and shows experiments with both marked and marker-less agents.

Keyword(s): Vision, Agent tracking, Robot tracking, Animal tracking, Camera, OpenCV, NCCR-MICS, NCCR-MICS/CL2

Reference: DISAL-CONF-2008-001

URL: http://iros2008.inria.fr/

Record created on 2008-07-18, modified on 2010-03-13