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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gamage, N. Akmeliawati, R. Kuang Ye Chow |
| Copyright Year | 2009 |
| Description | Author affiliation: Dept. of Mechatron. Eng., Int. Islamic Univ., Kuala Lumpur, Malaysia (Akmeliawati, R.) || Sch. of Eng., Monash Univ., Bandar Sunway, Malaysia (Gamage, N.; Kuang Ye Chow) |
| Abstract | 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%. |
| Sponsorship | IEEE Instrum. Meas. Soc. |
| Starting Page | 889 |
| Ending Page | 894 |
| File Size | 3172212 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424433520 |
| ISSN | 10915281 |
| DOI | 10.1109/IMTC.2009.5168576 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-05-05 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robustness Skin Image databases Testing Lighting Detection algorithms Head Statistical analysis Artificial intelligence Filters |
| Content Type | Text |
| Resource Type | Article |
| Subject | Instrumentation Electrical and Electronic Engineering |
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