Segmentation and tracking using colour mixture models

Yogesh  Raja; Stephen J. McKenna; Shaogang Gong

doi:10.1007/3-540-63930-6_173

Segmentation and tracking using colour mixture models

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

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

39 Citations (Scopus)

Abstract

A system is described that provides robust and real-time focus-of-attention for tracking and segmentation of multi-coloured objects. Gaussian mixture models were used to estimate the probability densities of object foreground and scene background colours. Tracking was performed by fitting dynamic bounding boxes to image regions of maximum probability. Two scenarios are presented: (1) real-time face tracking based upon a skin colour model and (2) dynamic body segmentation for virtual studios based upon combined foreground and background models

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	607-614
Number of pages	8
Volume	1
ISBN (Electronic)	9783540696698
ISBN (Print)	9783540639305
DOIs	https://doi.org/10.1007/3-540-63930-6_173
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/

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10.1007/3-540-63930-6_173

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Raja, Y., McKenna, S. J., & Gong, S. (1998). Segmentation and tracking using colour mixture models. 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. 607-614). (Lecture notes in computer science; Vol. 1351). Springer . https://doi.org/10.1007/3-540-63930-6_173

@inproceedings{458af01f4a9e47d8965084594b4ad88c,

title = "Segmentation and tracking using colour mixture models",

abstract = "A system is described that provides robust and real-time focus-of-attention for tracking and segmentation of multi-coloured objects. Gaussian mixture models were used to estimate the probability densities of object foreground and scene background colours. Tracking was performed by fitting dynamic bounding boxes to image regions of maximum probability. Two scenarios are presented: (1) real-time face tracking based upon a skin colour model and (2) dynamic body segmentation for virtual studios based upon combined foreground and background models",

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

year = "1998",

doi = "10.1007/3-540-63930-6_173",

language = "English",

isbn = "9783540639305",

volume = "1",

series = "Lecture notes in computer science",

publisher = "Springer ",

pages = "607--614",

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

booktitle = "Computer Vision — 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/",

}

Raja, Y, McKenna, SJ & Gong, S 1998, Segmentation and tracking using colour mixture models. 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. 607-614, 3rd Asian Conference on Computer Vision , Hong Kong, Hong Kong, 8/01/98. https://doi.org/10.1007/3-540-63930-6_173

Segmentation and tracking using colour mixture models. / Raja, Yogesh (Lead / Corresponding author); McKenna, Stephen J.; 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. 607-614 (Lecture notes in computer science; Vol. 1351).

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

TY - GEN

T1 - Segmentation and tracking using colour mixture models

AU - Raja, Yogesh

AU - McKenna, Stephen J.

AU - Gong, Shaogang

PY - 1998

Y1 - 1998

N2 - A system is described that provides robust and real-time focus-of-attention for tracking and segmentation of multi-coloured objects. Gaussian mixture models were used to estimate the probability densities of object foreground and scene background colours. Tracking was performed by fitting dynamic bounding boxes to image regions of maximum probability. Two scenarios are presented: (1) real-time face tracking based upon a skin colour model and (2) dynamic body segmentation for virtual studios based upon combined foreground and background models

AB - A system is described that provides robust and real-time focus-of-attention for tracking and segmentation of multi-coloured objects. Gaussian mixture models were used to estimate the probability densities of object foreground and scene background colours. Tracking was performed by fitting dynamic bounding boxes to image regions of maximum probability. Two scenarios are presented: (1) real-time face tracking based upon a skin colour model and (2) dynamic body segmentation for virtual studios based upon combined foreground and background models

U2 - 10.1007/3-540-63930-6_173

DO - 10.1007/3-540-63930-6_173

M3 - Conference contribution

SN - 9783540639305

VL - 1

T3 - Lecture notes in computer science

SP - 607

EP - 614

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 -

Segmentation and tracking using colour mixture models

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