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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Published in | Advances in Multimedia Vol. 2017; no. 2017; pp. 1 - 9 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Cairo, Egypt
Hindawi Publishing Corporation
01.01.2017
Hindawi Hindawi Limited Wiley |
Subjects | |
Online Access | Get full text |
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Abstract | 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. |
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AbstractList | 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. |
Audience | Academic |
Author | Khalid, Fatimah Yaakob, Razali Suhaiza Sulaiman, Puteri Thabet, Eman |
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Cites_doi | 10.1016/j.patrec.2011.09.032 10.5815/ijigsp.2016.05.01 10.1109/76.767122 10.1007/s11063-012-9275-4 10.1007/3-540-63931-4_278 10.1073/pnas.93.4.1591 10.1007/s11042-012-1212-z 10.1007/s11042-016-3579-8 10.1109/TII.2011.2172451 10.3233/IDA-160850 10.1109/34.1000242 10.1016/j.patcog.2010.12.014 10.1134/S1054661815040033 10.1007/s12555-009-0514-z 10.1007/s11042-014-2078-z 10.1016/j.engappai.2014.06.006 10.1007/s11042-013-1501-1 |
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Copyright | Copyright © 2017 Eman Thabet et al. COPYRIGHT 2017 Hindawi Limited Copyright © 2017 Eman Thabet et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
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SubjectTerms | Accuracy Algorithms Analysis Computer vision Digital video Gesture Image processing Lighting Methods Online instruction Skin Studies |
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Title | Low Cost Skin Segmentation Scheme in Videos Using Two Alternative Methods for Dynamic Hand Gesture Detection Method |
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