Comparative Study of Statistical Skin Detection Algorithms for Sub-Continental Human Images
Object detection has been a focus of research in human-computer interaction. Skin area detection has been a key to different recognitions like face recognition, human motion detection, pornographic and nude image prediction, etc. Most of the research done in the fields of skin detection has been tra...
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| Veröffentlicht in: | arXiv.org 2010-08 |
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| creator | Tabassum, Mirza Rehenuma Alim Ul Gias Md Mostafa Kamal Hossain, Muhammad Muctadir Ibrahim, Muhammad Asif Khan Shakir Imran, Asif Islamm, Saiful Rabbani, Md Golam Shah, Mostafa Khaled Md Saiful Islam Begum, Zerina |
| description | Object detection has been a focus of research in human-computer interaction. Skin area detection has been a key to different recognitions like face recognition, human motion detection, pornographic and nude image prediction, etc. Most of the research done in the fields of skin detection has been trained and tested on human images of African, Mongolian and Anglo-Saxon ethnic origins. Although there are several intensity invariant approaches to skin detection, the skin color of Indian sub-continentals have not been focused separately. The approach of this research is to make a comparative study between three image segmentation approaches using Indian sub-continental human images, to optimize the detection criteria, and to find some efficient parameters to detect the skin area from these images. The experiments observed that HSV color model based approach to Indian sub-continental skin detection is more suitable with considerable success rate of 91.1% true positives and 88.1% true negatives. |
| doi_str_mv | 10.48550/arxiv.1008.4206 |
| format | Article |
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Skin area detection has been a key to different recognitions like face recognition, human motion detection, pornographic and nude image prediction, etc. Most of the research done in the fields of skin detection has been trained and tested on human images of African, Mongolian and Anglo-Saxon ethnic origins. Although there are several intensity invariant approaches to skin detection, the skin color of Indian sub-continentals have not been focused separately. The approach of this research is to make a comparative study between three image segmentation approaches using Indian sub-continental human images, to optimize the detection criteria, and to find some efficient parameters to detect the skin area from these images. 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| source | Freely Accessible Journals; arXiv.org |
| subjects | Algorithms Color Comparative studies Computer Science - Computer Vision and Pattern Recognition Face recognition Human motion Image detection Image segmentation Motion perception Object recognition Pornography |
| title | Comparative Study of Statistical Skin Detection Algorithms for Sub-Continental Human Images |
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