Dilated Temporal Fully-Convolutional Network for Semantic Segmentation of Motion Capture Data (Unknown language)

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Semantic segmentation of motion capture sequences plays a key part in many data-driven motion synthesis frameworks. It is a preprocessing step in which long recordings of motion capture sequences are partitioned into smaller segments. Afterwards, additional methods like statistical modeling can be applied to each group of structurally-similar segments to learn an abstract motion manifold. The segmentation task however often remains a manual task, which increases the effort and cost of generating large-scale motion databases. We therefore propose an automatic framework for semantic segmentation of motion capture data using a dilated temporal fully-convolutional network. Our model outperforms a state-of-the-art model in action segmentation, as well as three networks for sequence modeling. We further show our model is robust against high noisy training labels.

Table of contents conference proceedings

The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

1
Capturing Floor Exercise from Multiple Panning-Zooming Cameras
Kobayashi, D. / Yamamoto, Masanobu | 2018
3
Latent Motion Manifold with Sequential Auto-Encoders
Jang, Deok-Kyeong / Lee, Sung-Hee | 2018
5
Dilated Temporal Fully-Convolutional Network for Semantic Segmentation of Motion Capture Data
Noshaba, Cheema / Hosseini, Somayeh / Sprenger, Janis / Herrmann, Erik / Du, Han / Fischer, Klaus / Slusallek, Philipp | 2018
7
Local Models for Data Driven Inverse Kinematics of Soft Robots
Holsten, Fredrik / Darkner, Sune / Engell-Nørregård, Morten P. / Erleben, Kenny | 2018
9
VR Kino+Theatre: From the Ancient Greeks Into the Future of Media
Velho, Luiz / Carvalho, Leonardo / Lucio, Djalma | 2018
11
Viewpoint Selection for Liquid Animations
Suzuki, Chihiro / Kanai, Takashi | 2018
13
Untangling Layered Garments: An Implicit Approach
Buffet, Thomas / Rohmer, Damien / Cani, Marie-Paule | 2018