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

Lampert, CH; Peters, J

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

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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;

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

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http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=5574
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lampert-poster-cvhrre2009_[0].pdf
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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: https://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.