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Hochschule Düsseldorf
University of Applied Sciences


Fachbereich Medien
Faculty of Media

Labor für Virtuelles Studio / Virtuelle Realität

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Abstract: A model-based filtering approach for real-time human motion data

Felix Paul and Jens Herder, A model-based filtering approach for real-time human motion data, Düsseldorf, GI-VRAR, Workshop Proceedings / Tagungsband: Virtuelle und Erweiterte Realität – 15. Workshop der GI-Fachgruppe VR/AR, ISBN 978-3-8440-6215-1, Düsseldorf, pp. 37-44, October, 2018.

Acquiring human motion data from video images plays an important role in the field of computer vision. Ground truth tracking systems require markers to create high quality motion data. But in many applications it is desired to work without markers. In recent years affordable hardware for markerless tracking systems was made available at a consumer level. Efficient depth camera systems based on Time-of-Flight sensors and structured light systems have made it possible to record motion data in real time. However, the gap between the quality of marker-based and markerless systems is high. The error sources of a markerless motion tracking pipeline are discussed and a model-based filter is proposed, which adapts depending on spatial location. The proposed method is then proven to be more robust and accurate than the unfiltered data stream and can be used to visually enhance the presence of an actor within a virtual environment in live broadcast productions.


time of flight, markerless motion tracking, smoothing filter, virtual studio, shadows



Description Time  mp4
A model-based filtering approach for real-time human motion data for shadow generation in virtual tv studios03:02 Min348,9 MB >> 





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