Face recognition from sequences using models of identity

Stephen J. McKenna; Shaogang Gong

doi:10.1007/3-540-63930-6_161

Face recognition from sequences using models of identity

Stephen J. McKenna (Lead / Corresponding author)
, Shaogang Gong

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

A method for modelling and recognising facial identity is described within the context of an integrated system for face recognition in dynamic scenes. Recognition is based sequences rather than isolated images. Mixture models provide estimates of class-conditional probabilities and these are used to accumulate recognition confidence over time. Results are presented using data from the integrated system

Original language	English
Title of host publication	Computer Vision — ACCV'98
Subtitle of host publication	Third Asian Conference on Computer Vision Hong Kong, China, January 8–10, 1998 Proceedings
Editors	Roland Chin, Ting-Chuen Pong
Place of Publication	Berlin
Publisher	Springer
Pages	507-514
Number of pages	8
Volume	1
ISBN (Electronic)	9783540696698
ISBN (Print)	9783540639305
DOIs	https://doi.org/10.1007/3-540-63930-6_161
Publication status	Published - 1998
Event	3rd Asian Conference on Computer Vision - Hong Kong University of Science & Technology (HKUST), Hong Kong, Hong Kong Duration: 8 Jan 1998 → 10 Jan 1998 http://www.cse.ust.hk/accv98/

Publication series

Name	Lecture notes in computer science
Publisher	Springer
Volume	1351
ISSN (Print)	0302-9743

Conference

Conference	3rd Asian Conference on Computer Vision
Abbreviated title	ACCV'98
Country/Territory	Hong Kong
City	Hong Kong
Period	8/01/98 → 10/01/98
Internet address	http://www.cse.ust.hk/accv98/

Access to Document

10.1007/3-540-63930-6_161

Cite this

McKenna, S. J., & Gong, S. (1998). Face recognition from sequences using models of identity. In R. Chin, & T.-C. Pong (Eds.), Computer Vision — ACCV'98: Third Asian Conference on Computer Vision Hong Kong, China, January 8–10, 1998 Proceedings (Vol. 1, pp. 507-514 ). (Lecture notes in computer science; Vol. 1351). Springer . https://doi.org/10.1007/3-540-63930-6_161

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title = "Face recognition from sequences using models of identity",

abstract = "A method for modelling and recognising facial identity is described within the context of an integrated system for face recognition in dynamic scenes. Recognition is based sequences rather than isolated images. Mixture models provide estimates of class-conditional probabilities and these are used to accumulate recognition confidence over time. Results are presented using data from the integrated system",

author = "McKenna, \{Stephen J.\} and Shaogang Gong",

year = "1998",

doi = "10.1007/3-540-63930-6\_161",

language = "English",

isbn = "9783540639305",

volume = "1",

series = "Lecture notes in computer science",

publisher = "Springer ",

pages = "507--514 ",

editor = "Chin, \{Roland \} and Pong, \{Ting-Chuen \}",

booktitle = "Computer Vision {\textemdash} ACCV'98",

note = "3rd Asian Conference on Computer Vision , ACCV'98 ; Conference date: 08-01-1998 Through 10-01-1998",

url = "http://www.cse.ust.hk/accv98/",

}

McKenna, SJ & Gong, S 1998, Face recognition from sequences using models of identity. in R Chin & T-C Pong (eds), Computer Vision — ACCV'98: Third Asian Conference on Computer Vision Hong Kong, China, January 8–10, 1998 Proceedings. vol. 1, Lecture notes in computer science, vol. 1351, Springer , Berlin, pp. 507-514 , 3rd Asian Conference on Computer Vision , Hong Kong, Hong Kong, 8/01/98. https://doi.org/10.1007/3-540-63930-6_161

Face recognition from sequences using models of identity. / McKenna, Stephen J. (Lead / Corresponding author); Gong, Shaogang.
Computer Vision — ACCV'98: Third Asian Conference on Computer Vision Hong Kong, China, January 8–10, 1998 Proceedings. ed. / Roland Chin; Ting-Chuen Pong. Vol. 1 Berlin: Springer , 1998. p. 507-514 (Lecture notes in computer science; Vol. 1351).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

TY - CHAP

T1 - Face recognition from sequences using models of identity

AU - McKenna, Stephen J.

AU - Gong, Shaogang

PY - 1998

Y1 - 1998

N2 - A method for modelling and recognising facial identity is described within the context of an integrated system for face recognition in dynamic scenes. Recognition is based sequences rather than isolated images. Mixture models provide estimates of class-conditional probabilities and these are used to accumulate recognition confidence over time. Results are presented using data from the integrated system

AB - A method for modelling and recognising facial identity is described within the context of an integrated system for face recognition in dynamic scenes. Recognition is based sequences rather than isolated images. Mixture models provide estimates of class-conditional probabilities and these are used to accumulate recognition confidence over time. Results are presented using data from the integrated system

U2 - 10.1007/3-540-63930-6_161

DO - 10.1007/3-540-63930-6_161

M3 - Chapter

SN - 9783540639305

VL - 1

T3 - Lecture notes in computer science

SP - 507

EP - 514

BT - Computer Vision — ACCV'98

A2 - Chin, Roland

A2 - Pong, Ting-Chuen

PB - Springer

CY - Berlin

T2 - 3rd Asian Conference on Computer Vision

Y2 - 8 January 1998 through 10 January 1998

ER -

Face recognition from sequences using models of identity

Abstract

Publication series

Conference

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