A discriminative representation for human 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

	A discriminative representation for human action recognition
	Yuan, Yuan1 ; Zheng, Xiangtao1,2 ; Lu, Xiaoqiang1
刊名	pattern recognition
	2016-11-01
卷号	59 页码:88-97
关键词	Action recognition Discriminative representation Classifier Maximum likelihood
ISSN号	0031-3203
通讯作者	lu, xiaoqiang (luxiaoqiang@opt.ac.cn)
产权排序	1
英文摘要	action recognition has been standing as an active research topic over the past years. many efforts have been made and many methods have been proposed. however, there are still some challenges such as illumination condition, viewpoint, camera motion and cluttered background. in order to tackle these challenges, a discriminative representation is proposed by discovering key information of the input data. this task can be addressed by improvements of two major components: parameterized representation and discriminative classifier. the representation is parameterized with hidden variables and can be learned from training data. and the classifier can be trained to recognize actions based on the proposed representation. the contributions of this paper are as follows: (1) a novel probabilistic representation is utilized to capture the relative significant information of low level features; (2) a novel framework is proposed by combining the parameterized representation and discriminative classifier; (3) an alternating strategy is favorable to improve the performance of action recognition by updating the representation and the classifier alternatively. experimental results on five well-known datasets demonstrate that the proposed method significantly improves the performance in action recognition. (c) 2016 elsevier ltd. all rights reserved.
WOS标题词	science & technology ; technology
类目[WOS]	computer science, artificial intelligence ; engineering, electrical & electronic
研究领域[WOS]	computer science ; engineering
关键词[WOS]	classification ; scene ; svm
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000383007800009
内容类型	期刊论文
源URL	[http://ir.opt.ac.cn/handle/181661/28255]
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.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China 2.Univ Chinese Acad Sci, 19A Yuquanlu, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Yuan, Yuan,Zheng, Xiangtao,Lu, Xiaoqiang. A discriminative representation for human action recognition[J]. pattern recognition,2016,59:88-97.
APA	Yuan, Yuan,Zheng, Xiangtao,&Lu, Xiaoqiang.(2016).A discriminative representation for human action recognition.pattern recognition,59,88-97.
MLA	Yuan, Yuan,et al."A discriminative representation for human action recognition".pattern recognition 59(2016):88-97.