63 citations · 196 across the 35 of their papers we have counts for
8 papers · 1 filter
Learning and Tracking the 3D Body Shape of Freely Moving Infants from RGB-D sequences
Nikolas Hesse, Sergi Pujades, Michael J. Black +3
Statistical models of the human body surface are generally learned from thousands of high-quality 3D scans in predefined poses to cover the wide variety of human body shapes and ar…
Stereo 3D Object Trajectory Reconstruction
Sebastian Bullinger, Christoph Bodensteiner, Michael Arens +1
We present a method to reconstruct the three-dimensional trajectory of a moving instance of a known object category using stereo video data. We track the two-dimensional shape of o…
An Evaluation of Trajectory Prediction Approaches and Notes on the TrajNet Benchmark
Stefan Becker, Ronny Hug, Wolfgang Hübner +1
In recent years, there is a shift from modeling the tracking problem based on Bayesian formulation towards using deep neural networks. Towards this end, in this paper the effective…
Particle-based pedestrian path prediction using LSTM-MDL models
Ronny Hug, Stefan Becker, Wolfgang Hübner +1
Recurrent neural networks are able to learn complex long-term relationships from sequential data and output a pdf over the state space. Therefore, recurrent models are a natural ch…
Improved Time of Arrival measurement model for non-convex optimization with noisy data
Juri Sidorenko, Leo Doktorski, Volker Schatz +2
The quadratic system provided by the Time of Arrival technique can be solved analytical or by optimization algorithms. In real environments the measurements are always corrupted by…
Multilateration of the Local Position Measurement
Juri Sidorenko, Norbert Scherer-Negenborn, Eckart Michaelsen +1
The Local Position Measurement system (LPM) is one of the most precise systems for 3D position estimation. It is able to operate in- and outdoor and updates at a rate up to 1000 me…
Improved linear direct solution for asynchronous radio network localization (RNL)
Juri Sidorenko, Norbert Scherer-Negenborn, Michael Arens +1
In the field of localization the linear least square solution is frequently used. This solution is compared to nonlinear solvers more effected by noise, but able to provide a posit…
Improved Time of Arrival measurement model for non-convex optimization
Juri Sidorenko, Leo Doktorski, Volker Schatz +2
The quadratic system provided by the Time of Arrival technique can be solved analytically or by optimization algorithms. In practice, a combination of both methods is used. An impo…