Human Spine Motion Capture using Perforated Kinesiology Tape
Hendrik Hachmann Bodo Rosenhahn
In this work, we present a marker-based multi-view spine tracking method that
is specifically adjusted to the requirements for movements in sports. A maximal
focus is on the accurate detection of markers and fast usage of the system. For
this task, we take advantage of the prior knowledge of the arrangement of dots
in perforated kinesiology tape. We detect the tape and its dots using a Mask
R-CNN and a blob detector. Here, we can focus on detection only while skipping
any image-based feature encoding or matching. We conduct a reasoning in 3D by a
linear program and Markov random fields, in which the structure of the
kinesiology tape is modeled and the shape of the spine is optimized. In
comparison to state-of-the-art systems, we demonstrate that our system achieves
high precision and marker density, is robust against occlusions, and capable of
capturing fast movements.