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A Semi-Supervised Method for Surveillance-Based Visual Location Recognition
Liu, Pengcheng; Yang, Peipei; Wang, Chong; Huang, Kaiqi; Tan, Tieniu
Source PublicationIEEE TRANSACTIONS ON CYBERNETICS
2017-11-01
Volume47Issue:11Pages:3719-3732
SubtypeArticle
Abstract
; 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.
KeywordCross-device (C-d) Recognition Semi-supervised Learning Visual Localization
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TCYB.2016.2578639
WOS KeywordDOMAIN ADAPTATION ; LOCALIZATION ; REPRESENTATION ; GRAPH
Indexed BySCI
Language英语
Funding OrganizationNational 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 Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS IDWOS:000413003100020
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12503
Collection智能感知与计算研究中心
Corresponding AuthorHuang, Kaiqi
AffiliationChinese Acad Sci, Inst Automat, Ctr Res Intelligent Percept & Comp, Beijing 100190, Peoples R China
Recommended Citation
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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