63 citations · 196 across the 35 of their papers we have counts for
5 papers · 1 filter
A Photogrammetry-based Framework to Facilitate Image-based Modeling and Automatic Camera Tracking
Sebastian Bullinger, Christoph Bodensteiner, Michael Arens
We propose a framework that extends Blender to exploit Structure from Motion (SfM) and Multi-View Stereo (MVS) techniques for image-based modeling tasks such as sculpting or camera…
Integration of the 3D Environment for UAV Onboard Visual Object Tracking
Stéphane Vujasinović, Stefan Becker, Timo Breuer +3
Single visual object tracking from an unmanned aerial vehicle (UAV) poses fundamental challenges such as object occlusion, small-scale objects, background clutter, and abrupt camer…
A Short Note on Analyzing Sequence Complexity in Trajectory Prediction Benchmarks
Ronny Hug, Stefan Becker, Wolfgang Hübner +1
The analysis and quantification of sequence complexity is an open problem frequently encountered when defining trajectory prediction benchmarks. In order to enable a more informati…
Quantifying the Complexity of Standard Benchmarking Datasets for Long-Term Human Trajectory Prediction
Ronny Hug, Stefan Becker, Wolfgang Hübner +1
Methods to quantify the complexity of trajectory datasets are still a missing piece in benchmarking human trajectory prediction models. In order to gain a better understanding of t…
Image-based OoD-Detector Principles on Graph-based Input Data in Human Action Recognition
Jens Bayer, David Münch, Michael Arens
Living in a complex world like ours makes it unacceptable that a practical implementation of a machine learning system assumes a closed world. Therefore, it is necessary for such a…