Real-time estimation of hand gestures based on manifold learning from   monocular videos

doi:10.1007/s11042-013-1524-7

CORC > 北京大学 > 信息科学技术学院

	Real-time estimation of hand gestures based on manifold learning from monocular videos
	Wang, Yi ; Luo, ZhongXuan ; Liu, JunCheng ; Fan, Xin ; Li, HaoJie ; Wu, Yunzhen
刊名	multimedia tools and applications
	2014
关键词	Manifold learning Locality preserving projections Gesture recognition NONLINEAR DIMENSIONALITY REDUCTION RECOGNITION TRACKING PROJECTION CAMERA POSE
DOI	10.1007/s11042-013-1524-7
英文摘要	Object pose estimation by manifold learning has become a hot research area recently. In this paper, we propose an efficient method that can recover pose and viewpoints for numerous hand gestures from monocular videos based on Locality Preserving Projections. We first select some hand dynamic gestures as primitive hand motions and set a 3D-2D mapping table to relate 3D joint angles of sampling static pose with their projective silhouettes from arbitrary viewpoints. Then the embedding space and explicit mapping function are learnt for every primitive motion. In order to make classification and prediction among those embedding spaces, a Subspace Filtering Algorithm is also proposed which can recognize and recover numerous hand dynamic gestures by the combination of primitive gestures. At last, by using skin color cues and oriented k-Dops, multi-hands can be labeled and tracked separately and accurately. Extensive experimental results demonstrate qualitatively and quantitatively that 3D pose recovery of hands can be achieved by our method robustly and efficiently.; Computer Science, Information Systems; Computer Science, Software Engineering; Computer Science, Theory & Methods; Engineering, Electrical & Electronic; SCI(E); EI; 0; ARTICLE; dlutwangyi@dlut.edu.cn; zxluo@dlut.edu.cn; ljc91122@yahoo.cn; xin.fan@ieee.org; lihaojieyt@gmail.com; yunzhen.eric@gmail.com; 2; 555-574; 71
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/248049]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Wang, Yi,Luo, ZhongXuan,Liu, JunCheng,et al. Real-time estimation of hand gestures based on manifold learning from monocular videos[J]. multimedia tools and applications,2014.
APA	Wang, Yi,Luo, ZhongXuan,Liu, JunCheng,Fan, Xin,Li, HaoJie,&Wu, Yunzhen.(2014).Real-time estimation of hand gestures based on manifold learning from monocular videos.multimedia tools and applications.
MLA	Wang, Yi,et al."Real-time estimation of hand gestures based on manifold learning from monocular videos".multimedia tools and applications (2014).