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Authors: Tommi Tykkälä 1 ; Hannu Hartikainen 2 ; Andrew I. Comport 3 and Joni-Kristian Kämäräinen 4

Affiliations: 1 Lappeenranta University of Technology (LUT Kouvola), Finland ; 2 Aalto University, Finland ; 3 CNRS-I3S/University of Nice Sophia-Antipolis, France ; 4 Tampere University of Technology, Finland

ISBN: 978-989-8565-48-8

Keyword(s): Dense Tracking, Dense 3D Reconstruction, Real-time Tracking, RGB-D, Kinect.

Related Ontology Subjects/Areas/Topics: Active and Robot Vision ; Applications ; Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Enterprise Information Systems ; Entertainment Imaging Applications ; Geometry and Modeling ; Human and Computer Interaction ; Human-Computer Interaction ; Image and Video Analysis ; Image Registration ; Image-Based Modeling ; Motion, Tracking and Stereo Vision ; Optical Flow and Motion Analyses ; Pattern Recognition ; Software Engineering ; Stereo Vision and Structure from Motion ; Tracking and Visual Navigation

Abstract: In this work, a real-time image-based camera tracking solution is developed for television broadcasting studio environments. An affordable vision-based system is proposed which can compete with expensive matchmoving systems. The system requires merely commodity hardware: a low cost RGB-D sensor and a standard laptop. The main contribution is avoiding time-evolving drift by tracking relative to a pre-recorded keyframe model. Camera tracking is defined as a registration problem between the current RGB-D measurement and the nearest keyframe. The keyframe poses contain only a small error and therefore the proposed method is virtually driftless. Camera tracking precision is compared to KinectFusion, which is a recent method for simultaneous camera tracking and 3D reconstruction. The proposed method is tested in a television broadcasting studio, where it demonstrates driftless and precise camera tracking in real-time.

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Paper citation in several formats:
Tykkälä, T.; Hartikainen, H.; Comport, A. and Kämäräinen, J. (2013). RGB-D Tracking and Reconstruction for TV Broadcasts.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-48-8, pages 247-252. DOI: 10.5220/0004279602470252

@conference{visapp13,
author={Tommi Tykkälä. and Hannu Hartikainen. and Andrew I. Comport. and Joni{-}Kristian Kämäräinen.},
title={RGB-D Tracking and Reconstruction for TV Broadcasts},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={247-252},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004279602470252},
isbn={978-989-8565-48-8},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)
TI - RGB-D Tracking and Reconstruction for TV Broadcasts
SN - 978-989-8565-48-8
AU - Tykkälä, T.
AU - Hartikainen, H.
AU - Comport, A.
AU - Kämäräinen, J.
PY - 2013
SP - 247
EP - 252
DO - 10.5220/0004279602470252

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