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

doi:10.1109/TCYB.2016.2578639

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	A Semi-Supervised Method for Surveillance-Based Visual Location Recognition
	Liu, Pengcheng; Yang, Peipei; Wang, Chong; Huang, Kaiqi; Tan, Tieniu
发表期刊	IEEE TRANSACTIONS ON CYBERNETICS
	2017-11-01
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
DOI	10.1109/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：12[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
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
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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