16 citations · 19 across the 2 of their papers we have counts for
3 papers
High-Accuracy Real-Time Whole-Body Human Motion Tracking Based on Constrained Nonlinear Kalman Filtering
Jannik Steinbring, Christian Mandery, Nikolaus Vahrenkamp +2
We present a new online approach to track human whole-body motion from motion capture data, i.e., positions of labeled markers attached to the human body. Tracking in noisy data ca…
The Smart Sampling Kalman Filter with Symmetric Samples
Jannik Steinbring, Martin Pander, Uwe D. Hanebeck
Nonlinear Kalman Filters are powerful and widely-used techniques when trying to estimate the hidden state of a stochastic nonlinear dynamic system. In this paper, we extend the Sma…
Progressive Gaussian Filtering
Uwe D. Hanebeck, Jannik Steinbring
In this paper, we propose a progressive Bayesian procedure, where the measurement information is continuously included into the given prior estimate (although we perform observatio…