Invariant feature extraction for gait recognition using only one uniform model
文献类型：期刊论文
| 作者 | Yu, Shiqi1; Chen, Haifeng1; Wang, Qing1; Shen, Linlin1; Huang, Yongzhen2
|
| 刊名 | NEUROCOMPUTING
 |
| 出版日期 | 2017-05-24 |
| 卷号 | 239页码:81-93 |
| 关键词 | Gait Recognition Deep Learning Invariant Feature |
| DOI | 10.1016/j.neucom.2017.02.006 |
| 文献子类 | Article |
| 英文摘要 | Gait recognition has been proved useful in human identification at a distance. But many variations such as view, clothing, carrying condition make gait recognition is still challenging in real applications. The variations make it is hard to extract invariant feature to distinguish different subjects. For view variation, one view transformation model can be employed to convert the gait feature from one view to another. Most existing models need to estimate the view angle first, and can Work for only one view pair. They can not convert multi-view data to one specific view efficiently. Other Variations also need some specific models to handle. We employed one deep model based on auto-encoder for invariant gait extraction. The model can synthesize gait feature in a progressive Way by stacked multi-layer auto-encoders. The unique advantage is that it can extract invariant gait feature using only one model, and the extracted feature is robust to view, clothing and carrying condition variation. The proposed method is evaluated on two large gait datasets, CASIA Gait Dataset B and SZU RGB-D Gait Dataset. The experimental results show that the proposed method can achieve state-of-the-art performance by only one uniform model. (C) 2017 Elsevier B.V. All rights reserved. |
| WOS关键词 | IDENTIFICATION ; BIOMETRICS |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000397689300008 |
| 资助机构 | Natural Science Foundation of China(61672357 ; Science Foundation of Guangdong Province(2014A030313556) ; Science Foundation of Shenzhen(JCYJ20150324141711699 ; Strategic Priority Research Program of the CAS(XDB02070001) ; Youth Innovation Promotion Association CAS(2006121) ; 61420106015) ; JCYJ20160422144110140) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/15072]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 作者单位 | 1.Shenzhen Univ, Coll Comp Sci & Software Engn, Comp Vis Inst, Shenzhen 518060, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yu, Shiqi,Chen, Haifeng,Wang, Qing,et al. Invariant feature extraction for gait recognition using only one uniform model[J]. NEUROCOMPUTING,2017,239:81-93. |
| APA | Yu, Shiqi,Chen, Haifeng,Wang, Qing,Shen, Linlin,&Huang, Yongzhen.(2017).Invariant feature extraction for gait recognition using only one uniform model.NEUROCOMPUTING,239,81-93. |
| MLA | Yu, Shiqi,et al."Invariant feature extraction for gait recognition using only one uniform model".NEUROCOMPUTING 239(2017):81-93. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。