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Person Re-identification by Exploiting Spatio-Temporal Cues and Multi-view Metric Learning
Jiaxin Chen1; Yunhong Wang1; Yuan Yan Tang2
2016-07
Source PublicationIEEE Signal Processing Letters
ISSN1070-9908
Volume23Issue:7Pages:998 - 1002
Abstract

In this letter, we introduce a new spatio-Temporal feature, namely optical flow energy image (OFEI), for video-based person re-identification. OFEI aims to exploit spatio-Temporally stable regions across frames, which can capture discriminative cues such as human body parts and carry-on stuffs. Furthermore, we propose a novel matching method, denoted by multi-view relevance metric learning with list-wise constraints (mvRMLLC), to integrate the spatio-Temporal (i.e., OFEI) and appearance features. Unlike previous works, mvRMLLC assumes that multiple features are generated from different views with distinct data distributions, while their similarities should be globally consistent. Multiple similarity metrics are then learned and fused by maximizing their global consistency and simultaneously allowing local discrepancies. Extensive experiments on two benchmarks demonstrate that OFEI outperforms the state-of-The-Art spatio-Temporal features, and mvRMLLC could further enhance the overall performance significantly. 

KeywordMetric Learning Multi-view Data Fusion Person Re-identification Spatio-temporal Representation
DOIhttps://doi.org/10.1109/LSP.2016.2574323
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000379694800006
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
The Source to ArticleScopus
Fulltext Access
Citation statistics
Cited Times [WOS]:17   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorJiaxin Chen; Yunhong Wang; Yuan Yan Tang
Affiliation1.Laboratory of Intelligent Recognition and Image Processing, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing 100191, China
2.Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau 999078, China
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Jiaxin Chen,Yunhong Wang,Yuan Yan Tang. Person Re-identification by Exploiting Spatio-Temporal Cues and Multi-view Metric Learning[J]. IEEE Signal Processing Letters,2016,23(7):998 - 1002.
APA Jiaxin Chen,Yunhong Wang,&Yuan Yan Tang.(2016).Person Re-identification by Exploiting Spatio-Temporal Cues and Multi-view Metric Learning.IEEE Signal Processing Letters,23(7),998 - 1002.
MLA Jiaxin Chen,et al."Person Re-identification by Exploiting Spatio-Temporal Cues and Multi-view Metric Learning".IEEE Signal Processing Letters 23.7(2016):998 - 1002.
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