Towards constrained optimal 3D tracking

Huiying Chen; Youfu Li

doi:10.1007/11867586_75

Towards constrained optimal 3D tracking

Huiying Chen
, Youfu Li^*

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

In this paper, we present a method for optimal 3-dimensional tracking using interaction matrix. We developed two constraints to avoid the singularity and local minima of the interaction matrix. These constraints were combined with the minimization of tracking errors to identify suitable system configuration for tracking. Experiments were conducted to validate the method. © Springer-Verlag Berlin Heidelberg 2006.

Original language	English
Title of host publication	Image Analysis and Recognition
Subtitle of host publication	Third International Conference, ICIAR 2006, Póvoa de Varzim, Portugal, September 18-20, 2006, Proceedings, Part I
Editors	Aurélio Campilho, Mohamed S. Kamel
Place of Publication	Berlin, Heidelberg
Publisher	Springer
Pages	827-838
ISBN (Electronic)	978-3-540-44893-8
ISBN (Print)	9783540448914
DOIs	https://doi.org/10.1007/11867586_75
Publication status	Published - 2006
Event	3rd International Conference on Image Analysis and Recognition (ICIAR 2006) - Povoa de Varzim, Portugal Duration: 18 Sept 2006 → 20 Sept 2006

Publication series

Name	Lecture Notes in Computer Science
Volume	4141
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Conference on Image Analysis and Recognition (ICIAR 2006)
Place	Portugal
City	Povoa de Varzim
Period	18/09/06 → 20/09/06

Access Output

10.1007/11867586_75

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@inproceedings{c11f53e3ac4b4fe18da9819726c5b820,

title = "Towards constrained optimal 3D tracking",

abstract = "In this paper, we present a method for optimal 3-dimensional tracking using interaction matrix. We developed two constraints to avoid the singularity and local minima of the interaction matrix. These constraints were combined with the minimization of tracking errors to identify suitable system configuration for tracking. Experiments were conducted to validate the method. {\textcopyright} Springer-Verlag Berlin Heidelberg 2006.",

author = "Huiying Chen and Youfu Li",

year = "2006",

doi = "10.1007/11867586\_75",

language = "English",

isbn = "9783540448914",

series = "Lecture Notes in Computer Science",

publisher = "Springer ",

pages = "827--838",

editor = "Campilho, \{Aur{\'e}lio \} and Kamel, \{Mohamed S. \}",

booktitle = "Image Analysis and Recognition",

note = "3rd International Conference on Image Analysis and Recognition (ICIAR 2006) ; Conference date: 18-09-2006 Through 20-09-2006",

}

Chen, H & Li, Y 2006, Towards constrained optimal 3D tracking. in A Campilho & MS Kamel (eds), Image Analysis and Recognition: Third International Conference, ICIAR 2006, Póvoa de Varzim, Portugal, September 18-20, 2006, Proceedings, Part I. Lecture Notes in Computer Science, vol. 4141, Springer , Berlin, Heidelberg, pp. 827-838, 3rd International Conference on Image Analysis and Recognition (ICIAR 2006), Povoa de Varzim, Portugal, 18/09/06. https://doi.org/10.1007/11867586_75

Towards constrained optimal 3D tracking. / Chen, Huiying; Li, Youfu.
Image Analysis and Recognition: Third International Conference, ICIAR 2006, Póvoa de Varzim, Portugal, September 18-20, 2006, Proceedings, Part I. ed. / Aurélio Campilho; Mohamed S. Kamel. Berlin, Heidelberg: Springer , 2006. p. 827-838 (Lecture Notes in Computer Science; Vol. 4141).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Towards constrained optimal 3D tracking

AU - Chen, Huiying

AU - Li, Youfu

PY - 2006

Y1 - 2006

N2 - In this paper, we present a method for optimal 3-dimensional tracking using interaction matrix. We developed two constraints to avoid the singularity and local minima of the interaction matrix. These constraints were combined with the minimization of tracking errors to identify suitable system configuration for tracking. Experiments were conducted to validate the method. © Springer-Verlag Berlin Heidelberg 2006.

AB - In this paper, we present a method for optimal 3-dimensional tracking using interaction matrix. We developed two constraints to avoid the singularity and local minima of the interaction matrix. These constraints were combined with the minimization of tracking errors to identify suitable system configuration for tracking. Experiments were conducted to validate the method. © Springer-Verlag Berlin Heidelberg 2006.

UR - https://www.scopus.com/pages/publications/33749651361

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-33749651361&origin=recordpage

U2 - 10.1007/11867586_75

DO - 10.1007/11867586_75

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9783540448914

T3 - Lecture Notes in Computer Science

SP - 827

EP - 838

BT - Image Analysis and Recognition

A2 - Campilho, Aurélio

A2 - Kamel, Mohamed S.

PB - Springer

CY - Berlin, Heidelberg

T2 - 3rd International Conference on Image Analysis and Recognition (ICIAR 2006)

Y2 - 18 September 2006 through 20 September 2006

ER -

Towards constrained optimal 3D tracking

Abstract

Publication series

Conference

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this