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

  • 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.

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Metadaten
Author:Felix Paul, Jens HerderORCiDGND
Fachbereich/Einrichtung:Hochschule Düsseldorf / Fachbereich - Medien
Hochschule Düsseldorf / Fachbereich - Medien / Creative Media Production and Entertainment Computing
Hochschule Düsseldorf / Fachbereich - Medien / Intelligente Mensch-Technik-Interaktion​
Document Type:Conference Proceeding
Year of Completion:2018
Language of Publication:English
Publisher:Shaker Verlag
Place of publication:Herzogenrath
Parent Title (English):Workshop Proceedings / Tagungsband: Virtuelle und Erweiterte Realität – 15. Workshop der GI-Fachgruppe VR/AR
Editor:Jens Herder, Christian Geiger, Ralf Dörner, Paul Grimm
First Page:37
Last Page:44
Related URL:http://vsvr.medien.hs-duesseldorf.de/publications/gi-vrar2018-filter/
DOI:https://doi.org/10.2370/9783844062151
ISBN:978-3-8440-6215-1
Tag:Virtual (TV) Studio
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):keine Lizenz - nur Metadaten
Release Date:2018/12/21
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