Low Cost Skin Segmentation Scheme in Videos Using Two Alternative Methods for Dynamic Hand Gesture Detection Method
Recent years have witnessed renewed interest in developing skin segmentation approaches. Skin feature segmentation has been widely employed in different aspects of computer vision applications including face detection and hand gestures recognition systems. This is mostly due to the attractive charac...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2017/7645189 |
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| _version_ | 1832565135782182912 |
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| author | Eman Thabet Fatimah Khalid Puteri Suhaiza Sulaiman Razali Yaakob |
| author_facet | Eman Thabet Fatimah Khalid Puteri Suhaiza Sulaiman Razali Yaakob |
| author_sort | Eman Thabet |
| collection | DOAJ |
| description | Recent years have witnessed renewed interest in developing skin segmentation approaches. Skin feature segmentation has been widely employed in different aspects of computer vision applications including face detection and hand gestures recognition systems. This is mostly due to the attractive characteristics of skin colour and its effectiveness to object segmentation. On the contrary, there are certain challenges in using human skin colour as a feature to segment dynamic hand gesture, due to various illumination conditions, complicated environment, and computation time or real-time method. These challenges have led to the insufficiency of many of the skin color segmentation approaches. Therefore, to produce simple, effective, and cost efficient skin segmentation, this paper has proposed a skin segmentation scheme. This scheme includes two procedures for calculating generic threshold ranges in Cb-Cr colour space. The first procedure uses threshold values trained online from nose pixels of the face region. Meanwhile, the second procedure known as the offline training procedure uses thresholds trained out of skin samples and weighted equation. The experimental results showed that the proposed scheme achieved good performance in terms of efficiency and computation time. |
| format | Article |
| id | doaj-art-e9fe6b284f164ae69d322b0cbe727bfa |
| institution | Kabale University |
| issn | 1687-5680 1687-5699 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-e9fe6b284f164ae69d322b0cbe727bfa2025-02-03T01:09:26ZengWileyAdvances in Multimedia1687-56801687-56992017-01-01201710.1155/2017/76451897645189Low Cost Skin Segmentation Scheme in Videos Using Two Alternative Methods for Dynamic Hand Gesture Detection MethodEman Thabet0Fatimah Khalid1Puteri Suhaiza Sulaiman2Razali Yaakob3Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Selangor, MalaysiaFaculty of Computer Science and Information Technology, Universiti Putra Malaysia, Selangor, MalaysiaFaculty of Computer Science and Information Technology, Universiti Putra Malaysia, Selangor, MalaysiaFaculty of Computer Science and Information Technology, Universiti Putra Malaysia, Selangor, MalaysiaRecent years have witnessed renewed interest in developing skin segmentation approaches. Skin feature segmentation has been widely employed in different aspects of computer vision applications including face detection and hand gestures recognition systems. This is mostly due to the attractive characteristics of skin colour and its effectiveness to object segmentation. On the contrary, there are certain challenges in using human skin colour as a feature to segment dynamic hand gesture, due to various illumination conditions, complicated environment, and computation time or real-time method. These challenges have led to the insufficiency of many of the skin color segmentation approaches. Therefore, to produce simple, effective, and cost efficient skin segmentation, this paper has proposed a skin segmentation scheme. This scheme includes two procedures for calculating generic threshold ranges in Cb-Cr colour space. The first procedure uses threshold values trained online from nose pixels of the face region. Meanwhile, the second procedure known as the offline training procedure uses thresholds trained out of skin samples and weighted equation. The experimental results showed that the proposed scheme achieved good performance in terms of efficiency and computation time.http://dx.doi.org/10.1155/2017/7645189 |
| spellingShingle | Eman Thabet Fatimah Khalid Puteri Suhaiza Sulaiman Razali Yaakob Low Cost Skin Segmentation Scheme in Videos Using Two Alternative Methods for Dynamic Hand Gesture Detection Method Advances in Multimedia |
| title | Low Cost Skin Segmentation Scheme in Videos Using Two Alternative Methods for Dynamic Hand Gesture Detection Method |
| title_full | Low Cost Skin Segmentation Scheme in Videos Using Two Alternative Methods for Dynamic Hand Gesture Detection Method |
| title_fullStr | Low Cost Skin Segmentation Scheme in Videos Using Two Alternative Methods for Dynamic Hand Gesture Detection Method |
| title_full_unstemmed | Low Cost Skin Segmentation Scheme in Videos Using Two Alternative Methods for Dynamic Hand Gesture Detection Method |
| title_short | Low Cost Skin Segmentation Scheme in Videos Using Two Alternative Methods for Dynamic Hand Gesture Detection Method |
| title_sort | low cost skin segmentation scheme in videos using two alternative methods for dynamic hand gesture detection method |
| url | http://dx.doi.org/10.1155/2017/7645189 |
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