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Authors: Adam Riečický 1 ; Martin Madaras 2 ; Michal Piovarci 3 and Roman Durikovic 4

Affiliations: 1 Comenius University and Skeletex Research, Slovak Republic ; 2 University of Technology, Comenius University and Skeletex Research, Austria ; 3 Saarland University and Skeletex Research, Germany ; 4 Comenius University, Slovak Republic

Keyword(s): Motion Capture, Inertial Suit, Optical System, Optical-inertial Synchronization, Silhouette Tracking.

Related Ontology Subjects/Areas/Topics: Animation and Simulation ; Augmented, Mixed and Virtual Environments ; Computer Vision, Visualization and Computer Graphics ; Human Figure Animation ; Interactive Environments ; Virtual Tours

Abstract: We propose a method for synchronization of an inertial motion capture suit and a single camera optical setup. Proposed synchronization is based on an iterative optimization of an energy potential in image space, minimizing the error between the camera image and a rendered virtual representation of the scene. For each frame, an input skeleton pose from the mocap suit is used to render a silhouette of a subject. Moreover, the local neighborhood around the last known position is searched by matching the silhouette to the distance transform representation of the camera image based on Chamfer matching. Using the combination of the camera tracking and the inertial motion capture suit, it is possible to retrieve the position of the joints that are hidden from the camera view. Moreover, it is possible to capture the position even if it cannot be captured by the suit sensors. Our system can be used for both real-time tracking and off-line post-processing of already captured mocap data.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Riečický, A.; Madaras, M.; Piovarci, M. and Durikovic, R. (2018). Optical-inertial Synchronization of MoCap Suit with Single Camera Setup for Reliable Position Tracking. In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - GRAPP; ISBN 978-989-758-287-5; ISSN 2184-4321, SciTePress, pages 40-47. DOI: 10.5220/0006531100400047

@conference{grapp18,
author={Adam Riečický. and Martin Madaras. and Michal Piovarci. and Roman Durikovic.},
title={Optical-inertial Synchronization of MoCap Suit with Single Camera Setup for Reliable Position Tracking},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - GRAPP},
year={2018},
pages={40-47},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006531100400047},
isbn={978-989-758-287-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - GRAPP
TI - Optical-inertial Synchronization of MoCap Suit with Single Camera Setup for Reliable Position Tracking
SN - 978-989-758-287-5
IS - 2184-4321
AU - Riečický, A.
AU - Madaras, M.
AU - Piovarci, M.
AU - Durikovic, R.
PY - 2018
SP - 40
EP - 47
DO - 10.5220/0006531100400047
PB - SciTePress