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Low Cost Skin Segmentation Scheme in Videos Using Two Alternative Methods for Dynamic Hand Gesture Detection Method
المؤلفون المشاركون
Thabet, Eman
Khalid, Fatimah
Suhaiza Sulaiman, Puteri
Yaakob, Razali
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-03-02
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
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.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Thabet, Eman& Khalid, Fatimah& Suhaiza Sulaiman, Puteri& Yaakob, Razali. 2017. Low Cost Skin Segmentation Scheme in Videos Using Two Alternative Methods for Dynamic Hand Gesture Detection Method. Advances in Multimedia،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1122377
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Thabet, Eman…[et al.]. Low Cost Skin Segmentation Scheme in Videos Using Two Alternative Methods for Dynamic Hand Gesture Detection Method. Advances in Multimedia No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1122377
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Thabet, Eman& Khalid, Fatimah& Suhaiza Sulaiman, Puteri& Yaakob, Razali. Low Cost Skin Segmentation Scheme in Videos Using Two Alternative Methods for Dynamic Hand Gesture Detection Method. Advances in Multimedia. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1122377
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1122377
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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