标题:Static hand gesture recognition using combinational features and compressive sensing
作者:Zhuang, Huiwei ;Yang, Mingqiang ;Cui, Zhenxing ;Wang, Feng
通讯作者:Yang, Mingqiang
作者机构:[Zhuang, Huiwei ;Yang, Mingqiang ;Cui, Zhenxing ] School of Information Science and Engineering, Shandong University, Jinan; 250100, China;[Wang, Feng 更多
会议名称:International Multiconference of Engineers and Computer Scientists 2016, IMECS 2016
会议日期:16 March 2016 through 18 March 2016
来源:Lecture Notes in Engineering and Computer Science
出版年:2016
卷:1
页码:376-380
关键词:Compressive Sensing (CS); Curvature Scale Space (CSS) Corner; Hand Gesture Recognition; Local Binary Pattern (LBP)
摘要:Vision based hand gesture recognition is becoming a hot research field. This paper proposes a novel static hand gesture recognition method based on combinational features. The method has two new points. First, it combines the gesture's local binary pattern (LBP) feature with curvature scale space (CSS) corner feature together. Second, it employs the compressive sensing (CS) to classify gestures. Through doing experiments on a hand gesture database confirms that recognition rate can reach 96.25%, it performs better than some other methods.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978646112&partnerID=40&md5=9b6998394c2d21802338dc7a9aaea60e
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