Using Colour for Robust Tracking and Segmentation

Yogesh  Raja; Stephen McKenna; Shaogang Gong

doi:10.1007/978-1-4471-1597-7_32

Using Colour for Robust Tracking and Segmentation

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

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

Abstract

We use colour mixture models for real-time colour-based object localisation, tracking and segmentation in dynamic scenes, motivated by applications such as virtual studios and recognition of human faces, gestures and actions. We address the issues of model order selection, modelling scene background and model adaptation in time. Experimental results are given to demonstrate our approach under varying viewing and lighting conditions.

Original language	English
Title of host publication	Noblesse Workshop on Non-Linear Model Based Image Analysis
Subtitle of host publication	Proceedings of NMBIA
Editors	Stephen Marshall , Neal Richard Harvey , Druti Shah
Place of Publication	London
Publisher	Springer
Pages	199-204
Number of pages	6
ISBN (Electronic)	9781447115977
ISBN (Print)	9783540762584
DOIs	https://doi.org/10.1007/978-1-4471-1597-7_32
Publication status	Published - 1998
Event	Noblesse Workshop on Non-Linear Model Based Image Analysis - Glasgow, United Kingdom Duration: 1 Jul 1998 → 3 Jul 1998

Workshop

Workshop	Noblesse Workshop on Non-Linear Model Based Image Analysis
Abbreviated title	NMBIA
Country/Territory	United Kingdom
City	Glasgow
Period	1/07/98 → 3/07/98

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10.1007/978-1-4471-1597-7_32

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title = "Using Colour for Robust Tracking and Segmentation",

abstract = "We use colour mixture models for real-time colour-based object localisation, tracking and segmentation in dynamic scenes, motivated by applications such as virtual studios and recognition of human faces, gestures and actions. We address the issues of model order selection, modelling scene background and model adaptation in time. Experimental results are given to demonstrate our approach under varying viewing and lighting conditions.",

author = "Yogesh Raja and Stephen McKenna and Shaogang Gong",

year = "1998",

doi = "10.1007/978-1-4471-1597-7_32",

language = "English",

isbn = "9783540762584",

pages = "199--204",

editor = "{Marshall }, {Stephen } and {Harvey }, {Neal Richard } and {Shah }, {Druti }",

booktitle = "Noblesse Workshop on Non-Linear Model Based Image Analysis",

publisher = "Springer ",

note = "Noblesse Workshop on Non-Linear Model Based Image Analysis, NMBIA ; Conference date: 01-07-1998 Through 03-07-1998",

}

Raja, Y, McKenna, S & Gong, S 1998, Using Colour for Robust Tracking and Segmentation. in S Marshall , NR Harvey & D Shah (eds), Noblesse Workshop on Non-Linear Model Based Image Analysis: Proceedings of NMBIA. Springer , London, pp. 199-204, Noblesse Workshop on Non-Linear Model Based Image Analysis, Glasgow, United Kingdom, 1/07/98. https://doi.org/10.1007/978-1-4471-1597-7_32

Using Colour for Robust Tracking and Segmentation. / Raja, Yogesh ; McKenna, Stephen; Gong, Shaogang (Lead / Corresponding author).
Noblesse Workshop on Non-Linear Model Based Image Analysis: Proceedings of NMBIA. ed. / Stephen Marshall ; Neal Richard Harvey ; Druti Shah . London: Springer , 1998. p. 199-204.

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

TY - CHAP

T1 - Using Colour for Robust Tracking and Segmentation

AU - Raja, Yogesh

AU - McKenna, Stephen

AU - Gong, Shaogang

PY - 1998

Y1 - 1998

N2 - We use colour mixture models for real-time colour-based object localisation, tracking and segmentation in dynamic scenes, motivated by applications such as virtual studios and recognition of human faces, gestures and actions. We address the issues of model order selection, modelling scene background and model adaptation in time. Experimental results are given to demonstrate our approach under varying viewing and lighting conditions.

AB - We use colour mixture models for real-time colour-based object localisation, tracking and segmentation in dynamic scenes, motivated by applications such as virtual studios and recognition of human faces, gestures and actions. We address the issues of model order selection, modelling scene background and model adaptation in time. Experimental results are given to demonstrate our approach under varying viewing and lighting conditions.

U2 - 10.1007/978-1-4471-1597-7_32

DO - 10.1007/978-1-4471-1597-7_32

M3 - Chapter

SN - 9783540762584

SP - 199

EP - 204

BT - Noblesse Workshop on Non-Linear Model Based Image Analysis

A2 - Marshall , Stephen

A2 - Harvey , Neal Richard

A2 - Shah , Druti

PB - Springer

CY - London

T2 - Noblesse Workshop on Non-Linear Model Based Image Analysis

Y2 - 1 July 1998 through 3 July 1998

ER -

Using Colour for Robust Tracking and Segmentation

Abstract

Workshop

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