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A Semi-Supervised Method for Surveillance-Based Visual Location Recognition

文献类型：期刊论文

作者Liu, Pengcheng; Yang, Peipei; Wang, Chong; Huang, Kaiqi; Tan, Tieniu
刊名IEEE TRANSACTIONS ON CYBERNETICS
出版日期2017-11-01
卷号47期号:11页码:3719-3732
关键词Cross-device (C-d) Recognition Semi-supervised Learning Visual Localization
DOI10.1109/TCYB.2016.2578639
文献子类Article
英文摘要
; In this paper, we are devoted to solving the problem of crossing surveillance and mobile phone visual location recognition, especially for the case that the query and reference images are captured by mobile phone and surveillance camera, respectively. Besides, we also study the influence of the environmental condition variations on this problem. To explore that problem, we first build a cross-device location recognition dataset, which includes images of 22 locations taken by mobile phones and surveillance cameras under different time and weather conditions. Then based on careful analysis of the problems existing in the data, we specifically design a method which unifies an unsupervised subspace alignment method and the semi-supervised Laplacian support vector machine. Experiments are performed on our dataset. Compared with several related methods, our method shows to be more efficient on the problem of crossing surveillance and mobile phone visual location recognition. Furthermore, the influence of several factors such as feature, time, and weather is studied.
WOS关键词DOMAIN ADAPTATION ; LOCALIZATION ; REPRESENTATION ; GRAPH
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000413003100020
资助机构National Basic Research Program of China(2012CB316302) ; National Natural Science Foundation of China(61135002 ; Strategic Priority Research Program of the Chinese Academy of Sciences(XDB02050000 ; 61403388) ; XDA06040103)
源URL[http://ir.ia.ac.cn/handle/173211/12503]  
专题自动化研究所_智能感知与计算研究中心
通讯作者Huang, Kaiqi
作者单位Chinese Acad Sci, Inst Automat, Ctr Res Intelligent Percept & Comp, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Liu, Pengcheng,Yang, Peipei,Wang, Chong,et al. A Semi-Supervised Method for Surveillance-Based Visual Location Recognition[J]. IEEE TRANSACTIONS ON CYBERNETICS,2017,47(11):3719-3732.
APA Liu, Pengcheng,Yang, Peipei,Wang, Chong,Huang, Kaiqi,&Tan, Tieniu.(2017).A Semi-Supervised Method for Surveillance-Based Visual Location Recognition.IEEE TRANSACTIONS ON CYBERNETICS,47(11),3719-3732.
MLA Liu, Pengcheng,et al."A Semi-Supervised Method for Surveillance-Based Visual Location Recognition".IEEE TRANSACTIONS ON CYBERNETICS 47.11(2017):3719-3732.

入库方式： OAI收割

来源：自动化研究所

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