电子学报2017，Vol.45Issue(9)：2281-2291,11.DOI:10.3969/j.issn.0372-2112.2017.09.032
结合手势二进制编码和类-Hausdorf距离的手势识别
Gesture Recognition Based on Combining Gesture Binary Descriptor and Hausdorff-Like Distance
摘要
Abstract
Since the dynamic gesture recognition algorithm is influenced by rotation,translation and scaling,and realtime gesture recognition is still a challenging issue,we propose a dynamic gesture recognition algorithm which is based on the combination of gesture binary descriptor and Hausdorff-like distance template matching.Firstly,we converted the segmented gesture image to the standardized image,then calculated the main direction of gesture in the image,and built a 2D rectangular coordinate system to extract the gesture features.Secondly,the specific dynamic gesture type can be identified according to changes in the amount of gesture pixel points from the top five frames.Next,we used gesture binary descriptor to select a part of gesture from the specific dynamic gesture type.Finally,the method of Hausdorff-like distance template matching is used to recognize the final gesture.The main innovation of this paper embodies in two aspects.Firstly,the dynamic gesture type recognition and the method of gestures binary descriptor matching proposed in this paper greatly shorten the time cost of dynamic gesture recognition.Secondly,Hausdorff-like distance method with the main direction of gesture not only has the in-variance on rotation,translation and scaling gestures,but also has a higher recognition rate on smaller gestures.Experimental results show that this algorithm can achieve real-time correct recognition of gestures in relatively stablelight conditions.The overall recognition rate can reach 95％,the recognition rate of scal-ing gestures is more than 92％ andthe recognition rate of rotation gestures is more than 87％.This algorithm has been applied in a human-computer interfacesystem based on hand gesture.关键词
动态手势识别/手势主方向/动态手势类型识别/手势二进制描述子/类-Hausdorff距离Key words
dynamic gesture recognition/the main direction of gesture/dynamic gesture type recognition/gesture bi-nary descriptor/Hausdorff-like distance分类
信息技术与安全科学引用本文复制引用
冯志全,杨学文,徐涛,刘弘,吕娜,杨晓辉,徐治鹏..结合手势二进制编码和类-Hausdorf距离的手势识别[J].电子学报,2017,45(9):2281-2291,11.基金项目
国家自然科学基金项目(No.61472163,No.61603151) （No.61472163,No.61603151）
国家重点研发计划项目(No.2016YFB1001403) （No.2016YFB1001403）
山东省重点研发计划项目(No.2015GGX101025) （No.2015GGX101025）
济南大学博士科研基金(No.XBS1534) （No.XBS1534）
