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Release of Bayesian Articulated Object Tracking Libraries

Robust and real-time Bayesian articulated object tracking methods, implemented in C++ and CUDA.

We release open-source code and data sets on Bayesian articulated object tracking. The library contains approaches towards problems ranging from single object tracking to full robot arm pose estimation. The data sets allow the quantitative evaluation of alternative approaches thanks to accurate ground-truth annotations.

People

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Jan Issac
Alumni
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Manuel Wüthrich
Ph.D. Student
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Jeannette Bohg
Research Group Leader