Incremental multi-view face tracking based on general view manifold

Wei Wei; Yanning Zhang

doi:10.1007/978-3-642-12304-7_15

Incremental multi-view face tracking based on general view manifold

Wei Wei, Yanning Zhang

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

A novel incremental multi-view face tracking algorithm is proposed in the graphic model, which includes a general view manifold and specific incremental face model. We extend a general view manifold to the state-space model of face tracking to represent the view continuity and nonlinearity in the video data. Particularly, a global constraint on the overall appearance of the tracked multi-view faces is defined based on the point-to-manifold distance to avoid drifting. This novel face tracking model can successfully track faces under unseen views, and experimental results proved the new method is superior to two state-of-art algorithms for multi-view face tracking.

Original language	English
Title of host publication	Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers
Pages	150-159
Number of pages	10
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-12304-7_15
State	Published - 2010
Event	9th Asian Conference on Computer Vision, ACCV 2009 - Xi'an, China Duration: 23 Sep 2009 → 27 Sep 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	5995 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th Asian Conference on Computer Vision, ACCV 2009
Country/Territory	China
City	Xi'an
Period	23/09/09 → 27/09/09

Access to Document

10.1007/978-3-642-12304-7_15

Cite this

Wei, W., & Zhang, Y. (2010). Incremental multi-view face tracking based on general view manifold. In Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers (PART 2 ed., pp. 150-159). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5995 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-12304-7_15

@inproceedings{0dd9aeb684184dc986ccd1ee4083de76,

title = "Incremental multi-view face tracking based on general view manifold",

abstract = "A novel incremental multi-view face tracking algorithm is proposed in the graphic model, which includes a general view manifold and specific incremental face model. We extend a general view manifold to the state-space model of face tracking to represent the view continuity and nonlinearity in the video data. Particularly, a global constraint on the overall appearance of the tracked multi-view faces is defined based on the point-to-manifold distance to avoid drifting. This novel face tracking model can successfully track faces under unseen views, and experimental results proved the new method is superior to two state-of-art algorithms for multi-view face tracking.",

author = "Wei Wei and Yanning Zhang",

year = "2010",

doi = "10.1007/978-3-642-12304-7_15",

language = "英语",

isbn = "3642123031",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers",

edition = "PART 2",

note = "9th Asian Conference on Computer Vision, ACCV 2009 ; Conference date: 23-09-2009 Through 27-09-2009",

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Wei, W & Zhang, Y 2010, Incremental multi-view face tracking based on general view manifold. in Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 5995 LNCS, pp. 150-159, 9th Asian Conference on Computer Vision, ACCV 2009, Xi'an, China, 23/09/09. https://doi.org/10.1007/978-3-642-12304-7_15

Incremental multi-view face tracking based on general view manifold. / Wei, Wei ; Zhang, Yanning.
Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers. PART 2. ed. 2010. p. 150-159 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5995 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - A novel incremental multi-view face tracking algorithm is proposed in the graphic model, which includes a general view manifold and specific incremental face model. We extend a general view manifold to the state-space model of face tracking to represent the view continuity and nonlinearity in the video data. Particularly, a global constraint on the overall appearance of the tracked multi-view faces is defined based on the point-to-manifold distance to avoid drifting. This novel face tracking model can successfully track faces under unseen views, and experimental results proved the new method is superior to two state-of-art algorithms for multi-view face tracking.

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Wei W , Zhang Y. Incremental multi-view face tracking based on general view manifold. In Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers. PART 2 ed. 2010. p. 150-159. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-12304-7_15

Incremental multi-view face tracking based on general view manifold

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