A Hand Gesture Recognition Technique from Real Time Video

被引：0
|
作者：
Sefat, Md Syadus [1 ]
Shahjahan, Md [1 ]
机构：
[1] Khulna Univ Engn & Technol, Dept Elect & Elect Engn, Khulna 9203, Bangladesh
来源：
2ND INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND INFORMATION COMMUNICATION TECHNOLOGY (ICEEICT 2015) | 2015年
关键词：
Hand gesture; SVM; YCbCr; HOG;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Hand gesture recognition plays a vital role in human computer interaction. It is a difficult task to classify a real time video. This paper presents a dynamic hand gesture recognition method from a real time video of hand gesture. The colour space 'YCbCr' is used for correctly determining the skin colour. Features from real time video are then extracted using Histogram of Oriented Gradient (HOG) descriptors. The features are then entered in a support vector machine (SVM) classifier for classification purpose. The gesture recognition has been done for bare hand.
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页数：4
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