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A High-Speed Object Tracker from Off-the-Shelf Components

MPS-Authors
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Lampert,  CH
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84135

Peters,  J
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

External Ressource
Fulltext (public)

lampert-poster-cvhrre2009_[0].pdf
(Any fulltext), 288KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Lampert, C., & Peters, J. (2009). A High-Speed Object Tracker from Off-the-Shelf Components. Poster presented at First IEEE Workshop on Computer Vision for Humanoid Robots in Real Environments at ICCV (CV4HRRE 2009), Kyoto, Japan.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-C321-5
Abstract
We introduce RTblob, an open-source real-time vision system for 3D object detection that achieves over 200 Hz tracking speed with only off-the-shelf hardware component. It allows fast and accurate tracking of colored objects in 3D without expensive and often custom-built hardware, instead making use of the PC graphics cards for the necessary image processing operations.