skip to main content
10.1145/1670252.1670302acmconferencesArticle/Chapter ViewAbstractPublication PagessiggraphConference Proceedingsconference-collections
research-article

Study on an indoor tracking system with infrared projected markers for large-area applications

Published: 14 December 2009 Publication History

Abstract

Augmented Reality systems often require the tracking of a user's pose in a large area to implement the registration between virtual object and the real world. To solve such a problem, this paper proposes a novel tracking system based on invisible projected markers which are created with an infrared projector. To enlarge the tracking area using only a limited number of markers, the system adopts a primary-secondary marker deployment solution, in which the primary marker uses an improved two-dimensional barcode and can be identified uniquely. The secondary marker is a simple light-spot, whose code is identified through the location relationship with the nearby primary markers and is used for the pose calculation. The system tracks the invisible markers using an IR (Infrared) camera, which means that it works in a way similar to a robust marker-less tracking system. A prototype is built to demonstrate the feasibility of the proposed tracking system, experimental result shows that the proposed system meets the requirements of accuracy for large-area tracking

References

[1]
Welch, Greg, Gary Bishop, Leandra Vicci, Stephen Brumback, Kurtis Keller, and D'nardo Colucci. High-Performance Wide-Area Optical Tracking -The HiBall Tracking System. Teleoperators and Virtual Environments 10(1), 2001.
[2]
Foxlin E, Naimark L. VIS-tracker: A Wearable Vision-inertial Self-tracker. Proc. of IEEE Virtual Reality. Los Angeles, CA, USA, pp. 199--206, 2003.
[3]
Leonid Naimark, Eric Foxlin. Encoded LED System for Optical Trackers. ISMAR 2005. pp. 150--153.
[4]
Bleser, G., Stricker, D., Advanced tracking through efficient image processing and visual-inertial sensor fusion. In Proc. of IEEE VR 2008, pp. 137--144 2008
[5]
H. Park, and J. I. Park. Invisible Marker Tracking for AR. Proc. of. International symposium on mixed and augmented reality, pp. 272--3, 2004
[6]
Tianren Wang, Yue Liu, Yongtian Wang. Infrared Marker Based Augmented Reality System for Equipment Maintenance. CSSE (5) 2008, pp. 816--819.
[7]
D. L. de Ipina, P. Mendonça,&A. Hopper. TRIP: a Low-Cost Vision-Based Location System for Ubiquitous Computing. Personal and Ubiquitous Computing, Volume 6, Number 3, pp 206--219, May 2002.
[8]
D. DeMenthon and L. S. Davis. Model-Based Object Pose in 25 Lines of Code. International Journal of Computer Vision, 15, pp. 123--141, June 1995.
[9]
Philip David, Daniel DeMenthon, Ramani Duraiswami and Hanan Samet. SoftPOSIT: Simultaneous Pose and Correspondence Determination. International Journal of Computer Vision, 59, No. 3, September--October 2004, pp. 259--284.

Cited By

View all

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
VRCAI '09: Proceedings of the 8th International Conference on Virtual Reality Continuum and its Applications in Industry
December 2009
374 pages
ISBN:9781605589121
DOI:10.1145/1670252
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 December 2009

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. infrared image
  2. marker
  3. pose tracking

Qualifiers

  • Research-article

Funding Sources

Conference

VRCAI '09
Sponsor:

Acceptance Rates

Overall Acceptance Rate 51 of 107 submissions, 48%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)2
  • Downloads (Last 6 weeks)1
Reflects downloads up to 03 Feb 2025

Other Metrics

Citations

Cited By

View all

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media