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

doi:10.1109/TCYB.2016.2578639

CORC > 自动化研究所 > 中国科学院自动化研究所 > 智能感知与计算研究中心

	A Semi-Supervised Method for Surveillance-Based Visual Location Recognition
	Liu, Pengcheng; Yang, Peipei; Wang, Chong; Huang, Kaiqi; Tan, Tieniu
刊名	IEEE TRANSACTIONS ON CYBERNETICS
	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
DOI	10.1109/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)
内容类型	期刊论文
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.