Learning Discriminative Key Poses for Action Recognition

CORC > 西安光学精密机械研究所 > 中国科学院西安光学精密机械研究所 > 光学影像学习与分析中心

	Learning Discriminative Key Poses for Action Recognition
	Liu, Li 1; Shao, Ling 1,2; Zhen, Xiantong 1; Li, Xuelong3
刊名	ieee transactions on cybernetics
	2013-12-01
卷号	43 期号:6 页码:1860-1870
关键词	AdaBoost computer vision extensive pyramidal features (EPFs) human action recognition pose selection weighted local naive Bayes nearest neighbor (WLNBNN) classifier
英文摘要	in this paper, we present a new approach for human action recognition based on key-pose selection and representation. poses in video frames are described by the proposed extensive pyramidal features (epfs), which include the gabor, gaussian, and wavelet pyramids. these features are able to encode the orientation, intensity, and contour information and therefore provide an informative representation of human poses. due to the fact that not all poses in a sequence are discriminative and representative, we further utilize the adaboost algorithm to learn a subset of discriminative poses. given the boosted poses for each video sequence, a new classifier named weighted local naive bayes nearest neighbor is proposed for the final action classification, which is demonstrated to be more accurate and robust than other classifiers, e.g., support vector machine (svm) and naive bayes nearest neighbor. the proposed method is systematically evaluated on the kth data set, the weizmann data set, the multiview ixmas data set, and the challenging hmdb51 data set. experimental results manifest that our method outperforms the state-of-the-art techniques in terms of recognition rate.
WOS标题词	science & technology ; technology
类目[WOS]	computer science, artificial intelligence ; computer science, cybernetics
研究领域[WOS]	computer science
关键词[WOS]	wavelet transform ; classification ; regression ; features ; points
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000327647500029
公开日期	2015-06-30
内容类型	期刊论文
源URL	[http://ir.opt.ac.cn/handle/181661/23438]
专题	西安光学精密机械研究所_光学影像学习与分析中心
作者单位	1.Univ Sheffield, Dept Elect & Elect Engn, Sheffield S1 3JD, S Yorkshire, England 2.Nanjing Univ Informat Sci & Technol, Coll Elect & Informat Engn, Nanjing 210044, Jiangsu, Peoples R China 3.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr OPT IMagery Anal & Learning OPTIMAL, Xian 710119, Peoples R China
推荐引用方式 GB/T 7714	Liu, Li,Shao, Ling,Zhen, Xiantong,et al. Learning Discriminative Key Poses for Action Recognition[J]. ieee transactions on cybernetics,2013,43(6):1860-1870.
APA	Liu, Li,Shao, Ling,Zhen, Xiantong,&Li, Xuelong.(2013).Learning Discriminative Key Poses for Action Recognition.ieee transactions on cybernetics,43(6),1860-1870.
MLA	Liu, Li,et al."Learning Discriminative Key Poses for Action Recognition".ieee transactions on cybernetics 43.6(2013):1860-1870.