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Object tracking across non-overlapping views by learning inter-camera transfer models
Chen, Xiaotang; Huang, Kaiqi; Tan, Tieniu
Source PublicationPATTERN RECOGNITION
2014-03-01
Volume47Issue:3Pages:1126-1137
SubtypeArticle
AbstractIn this paper, we introduce a novel algorithm to solve the problem of object tracking across multiple non-overlapping cameras by learning inter-camera transfer models. The transfer models are divided into two parts according to different kinds of cues, i.e. spatio-temporal cues and appearance cues. To learn spatio-temporal transfer models across cameras, an unsupervised topology recovering approach based on N-neighbor accumulated cross-correlations is proposed, which estimates the topology of a non-overlapping multi-camera network. Different from previous methods, the proposed topology recovering method can deal with large amounts of data without considering the size of time window. To learn inter-camera appearance transfer models, a color transfer method is used to model the changes of color characteristics across cameras, which has an advantage of low requirements to training samples, making update efficient when illumination conditions change. The experiments are performed on different datasets. Experimental results demonstrate the effectiveness of the proposed algorithm. (C) 2013 Elsevier Ltd. All rights reserved.
KeywordObject Tracking Transfer Models Color Transfer Camera Network Non-overlapping Views
WOS HeadingsScience & Technology ; Technology
WOS KeywordNETWORK TOPOLOGY ; COLOR CONSTANCY ; IMAGES
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000329888800020
Citation statistics
Cited Times:15[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3818
Collection智能感知与计算研究中心
AffiliationChinese Acad Sci, Ctr Res Intelligent Percept & Comp, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Chen, Xiaotang,Huang, Kaiqi,Tan, Tieniu. Object tracking across non-overlapping views by learning inter-camera transfer models[J]. PATTERN RECOGNITION,2014,47(3):1126-1137.
APA Chen, Xiaotang,Huang, Kaiqi,&Tan, Tieniu.(2014).Object tracking across non-overlapping views by learning inter-camera transfer models.PATTERN RECOGNITION,47(3),1126-1137.
MLA Chen, Xiaotang,et al."Object tracking across non-overlapping views by learning inter-camera transfer models".PATTERN RECOGNITION 47.3(2014):1126-1137.
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