中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Robust Relative Attributes for Human Action Recognition

文献类型:期刊论文

作者Zhang,zhong; Wang,Chunheng; Xiao,Baihua; Zhou,Wen; Liu,Shuang
刊名Pattern Analysis and Applications (PAA)
出版日期2015
期号2015页码:157-171
关键词Relative Attributes Envelop Loss Zero-shot Learning Human Action Recognition
英文摘要 High-level semantic feature is important to recognize human action. Recently, relative attributes, which are used to describe relative relationship, have been proposed as one of high-level semantic features and have shown promising performance. However, the training process is very sensitive to noises and moreover it is not robust to zero-shot learning. In this paper, to overcome these drawbacks, we propose a robust learning framework using relative attributes for human action recognition. We simultaneously add Sigmoid and Gaussian envelops into the loss objective. In this way, the influence of outliers will be greatly reduced in the process of optimization, thus improving the accuracy. In addition, we adopt Gaussian Mixture models for better fitting the distribution of actions in rank score space. Correspondingly, a novel transfer strategy is proposed to evaluate the parameters of Gaussian Mixture models for unseen classes. Our method is verified on three challenging datasets (KTH, UIUC and HOLLYWOOD2), and the experimental results demonstrate that our method achieves better results than previous methods
in both zero-shot classification and traditional recognition task for human action recognition.
源URL[http://ir.ia.ac.cn/handle/173211/19727]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_影像分析与机器视觉团队
作者单位Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Zhang,zhong,Wang,Chunheng,Xiao,Baihua,et al. Robust Relative Attributes for Human Action Recognition[J]. Pattern Analysis and Applications (PAA),2015(2015):157-171.
APA Zhang,zhong,Wang,Chunheng,Xiao,Baihua,Zhou,Wen,&Liu,Shuang.(2015).Robust Relative Attributes for Human Action Recognition.Pattern Analysis and Applications (PAA)(2015),157-171.
MLA Zhang,zhong,et al."Robust Relative Attributes for Human Action Recognition".Pattern Analysis and Applications (PAA) .2015(2015):157-171.

入库方式: OAI收割

来源:自动化研究所

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