Towards robust skin colour detection and tracking

Skin colour modelling has been a popular research topic over the years due its possible practical applications. Varying skin tones makes modelling of skin colour as one of the most complex and challenging task. Accuracy and performance of skin detection and tracking highly depends on the sk...

Full description

Bibliographic Details
Main Authors:	Gamage, Nuwan, Akmeliawati, Rini, Chow, Kuang Ye
Format:	Conference or Workshop Item
Language:	English
Published:	2009
Subjects:	TJ212 Control engineering
Online Access:	http://irep.iium.edu.my/5397/ http://irep.iium.edu.my/5397/ http://irep.iium.edu.my/5397/ http://irep.iium.edu.my/5397/1/i2mtc2009nuwan.pdf

id	iium-5397
recordtype	eprints
spelling	iium-53972012-01-25T00:21:59Z http://irep.iium.edu.my/5397/ Towards robust skin colour detection and tracking Gamage, Nuwan Akmeliawati, Rini Chow, Kuang Ye TJ212 Control engineering Skin colour modelling has been a popular research topic over the years due its possible practical applications. Varying skin tones makes modelling of skin colour as one of the most complex and challenging task. Accuracy and performance of skin detection and tracking highly depends on the skin model in use and the tracking method. In order to perform in real time, skin detection and tracking algorithm has to be computationally efficient and robust. This paper presents our effort on designing such an algorithm with a number of simple cascaded filters. It has been successfully implemented and tested with number of popular independent image databases available on the internet. This algorithm guarantees an accuracy rate of 70%. 2009-07-21 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/5397/1/i2mtc2009nuwan.pdf Gamage, Nuwan and Akmeliawati, Rini and Chow, Kuang Ye (2009) Towards robust skin colour detection and tracking. In: 2009 IEEE Instrumentation and Measurement Technology Conference (I2MTC), 5 - 7 May 2009, Singapore. http://dx.doi.org/10.1109/IMTC.2009.5168576 doi:10.1109/IMTC.2009.5168576
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TJ212 Control engineering
spellingShingle	TJ212 Control engineering Gamage, Nuwan Akmeliawati, Rini Chow, Kuang Ye Towards robust skin colour detection and tracking
description	Skin colour modelling has been a popular research topic over the years due its possible practical applications. Varying skin tones makes modelling of skin colour as one of the most complex and challenging task. Accuracy and performance of skin detection and tracking highly depends on the skin model in use and the tracking method. In order to perform in real time, skin detection and tracking algorithm has to be computationally efficient and robust. This paper presents our effort on designing such an algorithm with a number of simple cascaded filters. It has been successfully implemented and tested with number of popular independent image databases available on the internet. This algorithm guarantees an accuracy rate of 70%.
format	Conference or Workshop Item
author	Gamage, Nuwan Akmeliawati, Rini Chow, Kuang Ye
author_facet	Gamage, Nuwan Akmeliawati, Rini Chow, Kuang Ye
author_sort	Gamage, Nuwan
title	Towards robust skin colour detection and tracking
title_short	Towards robust skin colour detection and tracking
title_full	Towards robust skin colour detection and tracking
title_fullStr	Towards robust skin colour detection and tracking
title_full_unstemmed	Towards robust skin colour detection and tracking
title_sort	towards robust skin colour detection and tracking
publishDate	2009
url	http://irep.iium.edu.my/5397/ http://irep.iium.edu.my/5397/ http://irep.iium.edu.my/5397/ http://irep.iium.edu.my/5397/1/i2mtc2009nuwan.pdf
first_indexed	2023-09-18T20:13:59Z
last_indexed	2023-09-18T20:13:59Z
_version_	1777407664330899456

Towards robust skin colour detection and tracking

Similar Items