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AR train: combining SLAM with a marker detector for AR applications in static and dynamic environments

Authors:

Sung-Uk JungAuthors Info & Claims

AH '20: Proceedings of the 11th Augmented Human International Conference

Article No.: 23, Pages 1 - 2

https://doi.org/10.1145/3396339.3396398

Published: 27 May 2020 Publication History

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Abstract

Simultaneous localization and mapping (SLAM) has been applied to various fields. In particular, when a map generated by SLAM is loaded in augmented reality (AR) applications, virtual objects are correctly placed in real environments. However, most SLAM technologies assume static environments. We propose a simple and efficient tracking system that integrates SLAM-based tracking module with a marker detector. Our system localizes the camera on a static map while simultaneously tracking moving objects that have markers attached to them. Then, a static map, a camera, and moving objects can be unified into the same world coordinate system.

References

[1]

S. Garrido-Jurado, R. Muñoz-Salinas, F.J. Madrid-Cuevas, and R. Medina-Carnicer. 2016. Generation of fiducial marker dictionaries using Mixed Integer Linear Programming. Pattern Recognition 51 (2016), 481 -- 491.

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[2]

R. Mur-Artal and J. D. Tardós. 2017. ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras. IEEE Transactions on Robotics 33, 5 (2017), 1255--1262.

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[3]

M. Runz, M. Buffier, and L. Agapito. 2018. MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects. In 2018 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). 10--20.

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Park CCho HPark SJung SLee S(2022)Strategy for Creating AR Applications in Static and Dynamic Environments Using SLAM- and Marker Detector-Based TrackingComputer Modeling in Engineering & Sciences10.32604/cmes.2022.019214131:1(529-549)Online publication date: 2022
https://doi.org/10.32604/cmes.2022.019214
Yalcinkaya BAguizo JCouceiro MFigueiredo A(2021)A Multimodal Tracking Approach For Augmented Reality Applications12th Augmented Human International Conference10.1145/3460881.3460929(1-8)Online publication date: 27-May-2021
https://dl.acm.org/doi/10.1145/3460881.3460929
Yoon YCho HPark CPark S(2021)Augmented Reality Musical Service Part 1 for Non-face-to-face Watching by Multiple Audiences2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)10.1109/ICUFN49451.2021.9528585(219-224)Online publication date: 17-Aug-2021
https://doi.org/10.1109/ICUFN49451.2021.9528585

Index Terms

AR train: combining SLAM with a marker detector for AR applications in static and dynamic environments
1. Computing methodologies
  1. Computer graphics
    1. Graphics systems and interfaces
      1. Mixed / augmented reality

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Published In

AH '20: Proceedings of the 11th Augmented Human International Conference

May 2020

151 pages

ISBN:9781450377287

DOI:10.1145/3396339

General Chairs:
Mohamed-Amine Choukou
University of Manitoba, Canada
,
Redha Taiar
University of Reims Champagne-Ardenne, France
,
Program Chairs:
Pourang Irani
University of Manitoba, Canada
,
Jean-Marc Seigneur
University of Geneva, Switzerland

© 2020 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Association for Computing Machinery

New York, NY, United States

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Published: 27 May 2020

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Ministry of Culture, Sports and Tourism

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AH '20

AH '20: 11th Augmented Human International Conference

May 27 - 29, 2020

Manitoba, Winnipeg, Canada

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Park CCho HPark SJung SLee S(2022)Strategy for Creating AR Applications in Static and Dynamic Environments Using SLAM- and Marker Detector-Based TrackingComputer Modeling in Engineering & Sciences10.32604/cmes.2022.019214131:1(529-549)Online publication date: 2022
https://doi.org/10.32604/cmes.2022.019214
Yalcinkaya BAguizo JCouceiro MFigueiredo A(2021)A Multimodal Tracking Approach For Augmented Reality Applications12th Augmented Human International Conference10.1145/3460881.3460929(1-8)Online publication date: 27-May-2021
https://dl.acm.org/doi/10.1145/3460881.3460929
Yoon YCho HPark CPark S(2021)Augmented Reality Musical Service Part 1 for Non-face-to-face Watching by Multiple Audiences2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)10.1109/ICUFN49451.2021.9528585(219-224)Online publication date: 17-Aug-2021
https://doi.org/10.1109/ICUFN49451.2021.9528585

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A 6-DOF ARTag-based tracking system

Hand-Eye Camera Calibration with an Optical Tracking System

An Extended Marker-Based Tracking System for Augmented Reality

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