CASIA OpenIR  > 09年以前成果
Gesture recognition using quadratic curves
Dong, QL; Wu, YH; Hu, ZY; Narayanan, PJ; Nayar, SK; Shum, HY
2006
发表期刊COMPUTER VISION - ACCV 2006, PT I
卷号3851页码:817-825
文章类型Article
摘要This paper presents a novel method for human gesture recognition based on quadratic curves. Firstly, face and hands in the images are extracted by skin color and their central points are kept tracked by a modified Greedy Exchange algorithm. Then in each trajectory, the central points are fitted into a quadratic curve and 6 invariants from this quadratic curve are computed. Following these computations, a gesture feature vector composed of 6n such invariants is constructed, where n is the number of the trajectories in this gesture. Lastly, the gesture models are learnt from the feature vectors of gesture samples and an input gesture is recognized by comparing its feature vector with those of gesture models. In this gesture recognition method, the computational cost is low because the gesture duration does not need to be considered and only simple curvilinear integral and matrix computation are involved. Experiments on hip-hop dance show that our method can achieve a recognition rate as high as 97.65% on a database of 16 different gestures, each performed by 8 different people for 8 different times.
WOS标题词Science & Technology ; Technology
关键词[WOS]SURVEILLANCE
收录类别ISTP ; SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号WOS:000235772300082
引用统计
被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9266
专题09年以前成果
作者单位Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
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GB/T 7714
Dong, QL,Wu, YH,Hu, ZY,et al. Gesture recognition using quadratic curves[J]. COMPUTER VISION - ACCV 2006, PT I,2006,3851:817-825.
APA Dong, QL,Wu, YH,Hu, ZY,Narayanan, PJ,Nayar, SK,&Shum, HY.(2006).Gesture recognition using quadratic curves.COMPUTER VISION - ACCV 2006, PT I,3851,817-825.
MLA Dong, QL,et al."Gesture recognition using quadratic curves".COMPUTER VISION - ACCV 2006, PT I 3851(2006):817-825.
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