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...
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Online Access: | http://irep.iium.edu.my/5397/1/i2mtc2009nuwan.pdf http://irep.iium.edu.my/5397/ http://dx.doi.org/10.1109/IMTC.2009.5168576 |
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my.iium.irep.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 REM 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 |
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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/5397/1/i2mtc2009nuwan.pdf http://irep.iium.edu.my/5397/ http://dx.doi.org/10.1109/IMTC.2009.5168576 |
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1643605533381361664 |