中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Learning Representative Deep Features for Image Set Analysis

文献类型:期刊论文

作者Wu, Zifeng1; Huang, Yongzhen2; Wang, Liang2
刊名IEEE TRANSACTIONS ON MULTIMEDIA
出版日期2015-11-01
卷号17期号:11页码:1960-1968
关键词Album classification deep learning gait recognition image set
英文摘要This paper proposes to learn features from sets of labeled raw images. With this method, the problem of over-fitting can be effectively suppressed, so that deep CNNs can be trained from scratch with a small number of training data, i e., 420 labeled albums with about 30 000 photos. This method can effectively deal with sets of images, no matter if the sets bear temporal structures. A typical approach to sequential image analysis usually leverages motions between adjacent frames, while the proposed method focuses on capturing the co-occurrences and frequencies of features. Nevertheless, our method outperforms previous best performers in terms of album classification, and achieves comparable or even better performances in terms of gait based human identification. These results demonstrate its effectiveness and good adaptivity to different kinds of set data.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
研究领域[WOS]Computer Science ; Telecommunications
关键词[WOS]GAIT RECOGNITION ; CLASSIFICATION ; APPEARANCE ; CONTEXT
收录类别SCI
语种英语
WOS记录号WOS:000364102400009
公开日期2016-02-26
源URL[http://ir.ia.ac.cn/handle/173211/10499]  
专题自动化研究所_智能感知与计算研究中心
作者单位1.Univ Adelaide, Australian Ctr Visual Technol, Adelaide, SA 5005, Australia
2.Chinese Acad Sci, Inst Automat, CAS Ctr Excellence Brain Sci & Intelligence Techn, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Wu, Zifeng,Huang, Yongzhen,Wang, Liang. Learning Representative Deep Features for Image Set Analysis[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2015,17(11):1960-1968.
APA Wu, Zifeng,Huang, Yongzhen,&Wang, Liang.(2015).Learning Representative Deep Features for Image Set Analysis.IEEE TRANSACTIONS ON MULTIMEDIA,17(11),1960-1968.
MLA Wu, Zifeng,et al."Learning Representative Deep Features for Image Set Analysis".IEEE TRANSACTIONS ON MULTIMEDIA 17.11(2015):1960-1968.

入库方式: OAI收割

来源:自动化研究所

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