@book{2020:von_marcard:human_moti,
title = {Human Motion Capture  with Sparse Inertial  Sensors and Video},
year = {2020},
note = {This thesis explores approaches to capture human motions with a
small number of sensors. In the first part of this thesis an approach
is presented that reconstructs the body pose from only six inertial
sensors. Instead of relying on pre-recorded motion databases, a global
optimization problem is solved to maximize the consistency of
measurements and model over an entire recording sequence. The second
part of this thesis deals with a hybrid approach to fuse visual
information from a single hand-held camera with inertial sensor data.
First, a discrete optimization problem is solved to automatically
associate people detections in the video with inertial sensordata.
Then, a global optimization problem is formulated to combine visual
and inertial information.The propose  approach enables capturing of
multiple interacting people and works even if many more people are
visible in the camera image. In addition, systematic inertial sensor
errors can be compensated, leading to a substantial in...},
edition = {1},
publisher = {VDI Verlag},
address = {Düsseldorf},
series = {Informatik/ Kommunikation},
volume = {866},
author = {von Marcard, Timo}
}