Pixel-based skin colour detection techniques evaluation
Skin detection has gained popularity and importance in the computer vision community. It is an essential step for important vision tasks such as the detection, tracking and recognition of face, segmentation of hand for gesture analysis, person identification, as well as video surveillance and filter...
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| Format: | Article |
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Universiti Putra Malaysia Press
2007
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| _version_ | 1796973759884689408 |
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| author | Mharib, Ahmed M. Marhaban, Mohammad Hamiruce Ramli, Abdul Rahman |
| author_facet | Mharib, Ahmed M. Marhaban, Mohammad Hamiruce Ramli, Abdul Rahman |
| author_sort | Mharib, Ahmed M. |
| collection | UPM |
| description | Skin detection has gained popularity and importance in the computer vision community. It is an essential step for important vision tasks such as the detection, tracking and recognition of face, segmentation of hand for gesture analysis, person identification, as well as video surveillance and filtering of objectionable web images. All these applications are based on the assumption that the regions of the human skin are already located. In the recent past, numerous techniques for skin colour modeling and recognition have been proposed. The aims of this paper are to compile the published pixel-based skin colour detection techniques to describe their key concepts and try to find out and summarize their advantages, disadvantages and characteristic features. |
| first_indexed | 2024-03-06T08:47:21Z |
| format | Article |
| id | upm.eprints-40535 |
| institution | Universiti Putra Malaysia |
| last_indexed | 2024-03-06T08:47:21Z |
| publishDate | 2007 |
| publisher | Universiti Putra Malaysia Press |
| record_format | dspace |
| spelling | upm.eprints-405352015-11-20T01:57:20Z http://psasir.upm.edu.my/id/eprint/40535/ Pixel-based skin colour detection techniques evaluation Mharib, Ahmed M. Marhaban, Mohammad Hamiruce Ramli, Abdul Rahman Skin detection has gained popularity and importance in the computer vision community. It is an essential step for important vision tasks such as the detection, tracking and recognition of face, segmentation of hand for gesture analysis, person identification, as well as video surveillance and filtering of objectionable web images. All these applications are based on the assumption that the regions of the human skin are already located. In the recent past, numerous techniques for skin colour modeling and recognition have been proposed. The aims of this paper are to compile the published pixel-based skin colour detection techniques to describe their key concepts and try to find out and summarize their advantages, disadvantages and characteristic features. Universiti Putra Malaysia Press 2007-07 Article PeerReviewed Mharib, Ahmed M. and Marhaban, Mohammad Hamiruce and Ramli, Abdul Rahman (2007) Pixel-based skin colour detection techniques evaluation. Pertanika Journal of Science & Technology, 15 (2). pp. 131-137. ISSN 0128-7680; ESSN: 2231-8526 http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2015%20%282%29%20Jul.%202007/09%20PAGE%20131-137.pdf |
| spellingShingle | Mharib, Ahmed M. Marhaban, Mohammad Hamiruce Ramli, Abdul Rahman Pixel-based skin colour detection techniques evaluation |
| title | Pixel-based skin colour detection techniques evaluation |
| title_full | Pixel-based skin colour detection techniques evaluation |
| title_fullStr | Pixel-based skin colour detection techniques evaluation |
| title_full_unstemmed | Pixel-based skin colour detection techniques evaluation |
| title_short | Pixel-based skin colour detection techniques evaluation |
| title_sort | pixel based skin colour detection techniques evaluation |
| work_keys_str_mv | AT mharibahmedm pixelbasedskincolourdetectiontechniquesevaluation AT marhabanmohammadhamiruce pixelbasedskincolourdetectiontechniquesevaluation AT ramliabdulrahman pixelbasedskincolourdetectiontechniquesevaluation |