Complemental use of multiple cameras for stable tracking of multiple markers

Yuki Arai, Hideo Saito

研究成果: Conference contribution

1 引用 (Scopus)

抄録

In many applications of Augmented Reality (AR), rectangular markers are tracked in real time by capturing with cameras. In this paper, we consider the AR application in which virtual objects are displayed onto markers while the markers and the cameras are freely moving. In this situation, the marker cannot be tracked when the marker is occluded by some objects. In this paper, we propose a method for tracking the projection matrix between the image and the marker even when the maker is occluded, by using cameras. In this method, we transfer the projection matrix for the marker that is detected by the cameras in order to estimate the relative projection matrix for the occluded marker. After computing the relative projection matrices using multiple cameras, we compute a more accurate projection matrix by using particle filter. As a result, we can continuously track the markers even when the marker is occluded.

元の言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ページ413-420
ページ数8
5622 LNCS
DOI
出版物ステータスPublished - 2009
イベント3rd International Conference on Virtual and Mixed Reality, VMR 2009. Held as Part of HCI International 2009 - San Diego, CA, United States
継続期間: 2009 7 192009 7 24

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5622 LNCS
ISSN(印刷物)03029743
ISSN(電子版)16113349

Other

Other3rd International Conference on Virtual and Mixed Reality, VMR 2009. Held as Part of HCI International 2009
United States
San Diego, CA
期間09/7/1909/7/24

Fingerprint

Projection Matrix
Camera
Cameras
Augmented reality
Augmented Reality
Particle Filter
Computing
Estimate

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

これを引用

Arai, Y., & Saito, H. (2009). Complemental use of multiple cameras for stable tracking of multiple markers. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (巻 5622 LNCS, pp. 413-420). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 5622 LNCS). https://doi.org/10.1007/978-3-642-02771-0_46

Complemental use of multiple cameras for stable tracking of multiple markers. / Arai, Yuki; Saito, Hideo.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 巻 5622 LNCS 2009. p. 413-420 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻 5622 LNCS).

研究成果: Conference contribution

Arai, Y & Saito, H 2009, Complemental use of multiple cameras for stable tracking of multiple markers. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 巻. 5622 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 巻. 5622 LNCS, pp. 413-420, 3rd International Conference on Virtual and Mixed Reality, VMR 2009. Held as Part of HCI International 2009, San Diego, CA, United States, 09/7/19. https://doi.org/10.1007/978-3-642-02771-0_46
Arai Y, Saito H. Complemental use of multiple cameras for stable tracking of multiple markers. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 巻 5622 LNCS. 2009. p. 413-420. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-02771-0_46
Arai, Yuki ; Saito, Hideo. / Complemental use of multiple cameras for stable tracking of multiple markers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 巻 5622 LNCS 2009. pp. 413-420 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{1f7a56d672be42f084b5268f2c5580d5,
title = "Complemental use of multiple cameras for stable tracking of multiple markers",
abstract = "In many applications of Augmented Reality (AR), rectangular markers are tracked in real time by capturing with cameras. In this paper, we consider the AR application in which virtual objects are displayed onto markers while the markers and the cameras are freely moving. In this situation, the marker cannot be tracked when the marker is occluded by some objects. In this paper, we propose a method for tracking the projection matrix between the image and the marker even when the maker is occluded, by using cameras. In this method, we transfer the projection matrix for the marker that is detected by the cameras in order to estimate the relative projection matrix for the occluded marker. After computing the relative projection matrices using multiple cameras, we compute a more accurate projection matrix by using particle filter. As a result, we can continuously track the markers even when the marker is occluded.",
keywords = "Augmented reality, Marker tracking, Multiple cameras, Particle filter",
author = "Yuki Arai and Hideo Saito",
year = "2009",
doi = "10.1007/978-3-642-02771-0_46",
language = "English",
isbn = "3642027709",
volume = "5622 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "413--420",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

}

TY - GEN

T1 - Complemental use of multiple cameras for stable tracking of multiple markers

AU - Arai, Yuki

AU - Saito, Hideo

PY - 2009

Y1 - 2009

N2 - In many applications of Augmented Reality (AR), rectangular markers are tracked in real time by capturing with cameras. In this paper, we consider the AR application in which virtual objects are displayed onto markers while the markers and the cameras are freely moving. In this situation, the marker cannot be tracked when the marker is occluded by some objects. In this paper, we propose a method for tracking the projection matrix between the image and the marker even when the maker is occluded, by using cameras. In this method, we transfer the projection matrix for the marker that is detected by the cameras in order to estimate the relative projection matrix for the occluded marker. After computing the relative projection matrices using multiple cameras, we compute a more accurate projection matrix by using particle filter. As a result, we can continuously track the markers even when the marker is occluded.

AB - In many applications of Augmented Reality (AR), rectangular markers are tracked in real time by capturing with cameras. In this paper, we consider the AR application in which virtual objects are displayed onto markers while the markers and the cameras are freely moving. In this situation, the marker cannot be tracked when the marker is occluded by some objects. In this paper, we propose a method for tracking the projection matrix between the image and the marker even when the maker is occluded, by using cameras. In this method, we transfer the projection matrix for the marker that is detected by the cameras in order to estimate the relative projection matrix for the occluded marker. After computing the relative projection matrices using multiple cameras, we compute a more accurate projection matrix by using particle filter. As a result, we can continuously track the markers even when the marker is occluded.

KW - Augmented reality

KW - Marker tracking

KW - Multiple cameras

KW - Particle filter

UR - http://www.scopus.com/inward/record.url?scp=76649083246&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=76649083246&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-02771-0_46

DO - 10.1007/978-3-642-02771-0_46

M3 - Conference contribution

AN - SCOPUS:76649083246

SN - 3642027709

SN - 9783642027703

VL - 5622 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 413

EP - 420

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -