poster

MirrorTrack: tracking with reflection - comparison with top-down approach

Authors:

Yannick Verdie,

Bing Fang,

Francis QuekAuthors Info & Claims

ICMI-MLMI '09: Proceedings of the 2009 international conference on Multimodal interfaces

Pages 347 - 350

https://doi.org/10.1145/1647314.1647386

Published: 02 November 2009 Publication History

Get Access

Abstract

Tabletop hand tracking techniques have evolved much during the last few years from single to multiple cameras, offering users an improved interactive experience. MirrorTrack is one of such techniques. This paper demonstrates the comparison of accuracy between MirrorTrack and top-down approach, which is generally used for table top tasks. In this paper, we focus on the comparison of distance errors in finger trajectory, and clicking errors by manual monitoring.

References

[1]

H. Benko, A. D. Wilson, and P. Baudisch. Precise selection techniques for multi-touch screens. In CHI '06: Proceedings of the SIGCHI conference on Human Factors in computing systems, pages 1263--1272, New York, NY, USA, 2006. ACM.

Digital Library

Google Scholar

[2]

P.-K. Chung, B. Fang, R. W. Ehrich, and F. Quek. Mirrortrack. volume 0, pages 1--5, Los Alamitos, CA, USA, 2008. IEEE Computer Society.

Google Scholar

[3]

P.-K. Chung, B. Fang, and F. Quek. Mirrortrack - a vision based multi-touch system for glossy display surfaces. pages 571--576, 29 2008-Aug. 1 2008.

Google Scholar

[4]

P. Dietz and D. Leigh. Diamondtouch: a multi-user touch technology. In UIST '01: Proceedings of the 14th annual ACM symposium on User interface software and technology, pages 219--226, New York, NY, USA, 2001. ACM.

Digital Library

Google Scholar

[5]

J. Y. Han. Low-cost multi-touch sensing through frustrated total internal reflection. In UIST '05: Proceedings of the 18th annual ACM symposium on User interface software and technology, pages 115--118, New York, NY, USA, 2005. ACM.

Digital Library

Google Scholar

[6]

J. Letessier and F. Bérard. Visual tracking of bare fingers for interactive surfaces. In UIST '04: Proceedings of the 17th annual ACM symposium on User interface software and technology, pages 119--122, New York, NY, USA, 2004. ACM.

[7]

[8]

S. Malik and J. Laszlo. Visual touchpad: A two-handed gestural input device. In ICMI '04: Proceedings of the 6th international conference on Multimodal interfaces, pages 289--296, New York, NY, USA, 2004. ACM.

Digital Library

Google Scholar

[9]

A. Sanghi, H. Arora, K. Gupta, and V. B. Vats. A fingertip detection and tracking system as a virtual mouse, a signature input device and an application selector. In Devices, Circuits and Systems, 2008. ICCDCS 2008. 7th International Caribbean Conference on, pages 1--4, 2008.

Crossref

Google Scholar

[10]

R. Y. Tsai. A versatile camera calibration technique for high-accuracy 3d machine vision metrology using off-the-shelf tv cameras and lenses. pages 221--244, 1992.

Digital Library

Google Scholar

[11]

V. V. Vassili, V. Sazonov, and A. Andreeva. A survey on pixel-based skin color detection techniques. In in Proc. Graphicon-2003, pages 85--92, 2003.

Google Scholar

[12]

A. D. Wilson. Touchlight: an imaging touch screen and display for gesture-based interaction. In ICMI '04: Proceedings of the 6th international conference on Multimodal interfaces, pages 69--76, New York, NY, USA, 2004. ACM.

Digital Library

Google Scholar

[13]

E. Yoruk, E. Konukoglu, B. Sankur, and J. Darbon. Shape-based hand recognition. Image Processing, IEEE Transactions on, 15(7):1803--1815, July 2006.

Digital Library

Google Scholar

Cited By

View all

Candela EPérez MRomero CLópez DHerranz GContero MRaya M(2014)HumanTopMultimedia Tools and Applications10.1007/s11042-012-1193-y70:3(1837-1868)Online publication date: 1-Jun-2014
https://dl.acm.org/doi/10.1007/s11042-012-1193-y
Chu SQuek F(2013)Information Holodeck: Thinking in Technology EcologiesHuman-Computer Interaction – INTERACT 201310.1007/978-3-642-40483-2_12(167-184)Online publication date: 2013
https://doi.org/10.1007/978-3-642-40483-2_12

Index Terms

MirrorTrack: tracking with reflection - comparison with top-down approach
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
      2. Image and video acquisition
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Touch screens
    2. Interaction paradigms

Recommendations

Robust vision-based hand tracking using single camera for ubiquitous 3D gesture interaction
3DUI '10: Proceedings of the 2010 IEEE Symposium on 3D User Interfaces

Along History, the gestures have been one of the most natural interaction methods of the Human Being. This work proposes a novel 3D interaction technique based on computer vision for human-computer gesture interaction. The main contribution to the ...
Robust camera pose estimation using 2d fiducials tracking for real-time augmented reality systems
VRCAI '04: Proceedings of the 2004 ACM SIGGRAPH international conference on Virtual Reality continuum and its applications in industry

Augmented reality (AR) deals with the problem of dynamically and accurately align virtual objects with the real world. Among the used methods, vision-based techniques have advantages for AR applications, their registration can be very accurate, and ...
A Video Annotation Tool Using Vision-based AR Technology
CW '12: Proceedings of the 2012 International Conference on Cyberworlds

In this paper, we present a video annotation tool using vision-based Augmented Reality (AR) technology. We apply AR technology and computer vision method for making videos with 3D annotations such as image textures, video clips, 3D objects and 3D text. ...

Comments

Information & Contributors

Information

Published In

ICMI-MLMI '09: Proceedings of the 2009 international conference on Multimodal interfaces

November 2009

374 pages

ISBN:9781605587721

DOI:10.1145/1647314

General Chairs:
James L. Crowley
INRIA Grenoble Rhône-Alpes Research Centre, France
,
Yuri Ivanov
MERL, USA
,
Christopher Wren
Google, USA
,
Program Chairs:
Daniel Gatica-Perez
Idiap Research Institute, Switzerland
,
Michael Johnston
AT&T Research, USA
,
Rainer Stiefelhagen
University of Karlsruhe, Germany

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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 November 2009

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Poster

Conference

ICMI-MLMI '09

Sponsor:

SIGCHI

ICMI-MLMI '09: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERFACES/WORKSHOP ON MACHINE LEARNING FOR MULTIMODAL INTERFACES

November 2 - 4, 2009

Massachusetts, Cambridge, USA

Acceptance Rates

Overall Acceptance Rate 453 of 1,080 submissions, 42%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
164
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 03 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Candela EPérez MRomero CLópez DHerranz GContero MRaya M(2014)HumanTopMultimedia Tools and Applications10.1007/s11042-012-1193-y70:3(1837-1868)Online publication date: 1-Jun-2014
https://dl.acm.org/doi/10.1007/s11042-012-1193-y
Chu SQuek F(2013)Information Holodeck: Thinking in Technology EcologiesHuman-Computer Interaction – INTERACT 201310.1007/978-3-642-40483-2_12(167-184)Online publication date: 2013
https://doi.org/10.1007/978-3-642-40483-2_12

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Robust vision-based hand tracking using single camera for ubiquitous 3D gesture interaction

Robust camera pose estimation using 2d fiducials tracking for real-time augmented reality systems

A Video Annotation Tool Using Vision-based AR Technology

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations