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A Semi-Supervised Method for Surveillance-Based Visual Location Recognition
Liu, Pengcheng; Yang, Peipei; Wang, Chong; Huang, Kaiqi; Tan, Tieniu
2017-11-01
发表期刊IEEE TRANSACTIONS ON CYBERNETICS
卷号47期号:11页码:3719-3732
文章类型Article
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.
关键词Cross-device (C-d) Recognition Semi-supervised Learning Visual Localization
WOS标题词Science & Technology ; Technology
DOI10.1109/TCYB.2016.2578639
关键词[WOS]DOMAIN ADAPTATION ; LOCALIZATION ; REPRESENTATION ; GRAPH
收录类别SCI
语种英语
项目资助者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)
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号WOS:000413003100020
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/12503
专题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.
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