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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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2009
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| Subjects: | |
| 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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| Summary: | 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%. |
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