Illumination-invariant motion detection using colour mixture models

Ming Xu; Tim Ellis

doi:10.5244/C.15.18

Illumination-invariant motion detection using colour mixture models

Ming Xu, Tim Ellis

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

Abstract

This paper tackles the problem of robust change detection in image sequences from static cameras. Motion cues are detected using frame differencing with an adaptive background estimation modelled by a mixture of Gaussians. Illumination invariance and elimination or detection of shadows is achieved by using a colour chromaticity representation of the image data. The combination of the colour-and intensity-based models results in some promising applications.

Original language	English
Title of host publication	Proceedings - British Machine Vision Conference
Editors	Tim Cootes, Chris Taylor
Place of Publication	Manchester
Publisher	British Machine Vision Association
Pages	163-172
Number of pages	10
ISBN (Electronic)	1 901725 17 0
ISBN (Print)	1 901725 16 2
DOIs	https://doi.org/10.5244/C.15.18
Publication status	Published - 2001
Externally published	Yes

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10.5244/C.15.18

https://bmva-archive.org.uk/bmvc/2001/papers/74/accepted_74.pdf

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title = "Illumination-invariant motion detection using colour mixture models",

abstract = "This paper tackles the problem of robust change detection in image sequences from static cameras. Motion cues are detected using frame differencing with an adaptive background estimation modelled by a mixture of Gaussians. Illumination invariance and elimination or detection of shadows is achieved by using a colour chromaticity representation of the image data. The combination of the colour-and intensity-based models results in some promising applications.",

author = "Ming Xu and Tim Ellis",

year = "2001",

doi = "10.5244/C.15.18",

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AB - This paper tackles the problem of robust change detection in image sequences from static cameras. Motion cues are detected using frame differencing with an adaptive background estimation modelled by a mixture of Gaussians. Illumination invariance and elimination or detection of shadows is achieved by using a colour chromaticity representation of the image data. The combination of the colour-and intensity-based models results in some promising applications.

U2 - 10.5244/C.15.18

DO - 10.5244/C.15.18

M3 - Conference Proceeding

SN - 1 901725 16 2

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BT - Proceedings - British Machine Vision Conference

A2 - Cootes, Tim

A2 - Taylor, Chris

PB - British Machine Vision Association

CY - Manchester

ER -

Illumination-invariant motion detection using colour mixture models

Abstract

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