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Video person re-identification using key frame screening with index and feature reorganization based on inter-frame relation
Lu, Zeng1; Zhang, Ganghan1; Huang, Guoheng1; Yu, Zhiwen2; Pun, Chi Man3; Zhang, Weiwen1; Chen, Junan1; Ling, Wing Kuen4
2022-04
Source PublicationInternational Journal of Machine Learning and Cybernetics
ISSN1868-8071
Volume13Issue:9Pages:2745-2761
Abstract

Nowadays, there are many video person re-identification networks that do not consider screening the input video frame sequence, which result in the high-similarity of the video frames used for training the neural network. In this way, the temporal information in the video cannot be effectively modeled. To address that, we try to propose a video person re-identification scheme based on inter-frame reorganization, which consists of two modules. First, the Key Frame Screening with Index (KFSI) is proposed to screen the similar frames, and a frame sequence with richer information is extracted when loading the training dataset. Second, the Feature Reorganization Based on Inter-Frame Relation (FRBIFR) is proposed to reorganize the features of key frame sequence by calculating the correlation between the frames, and the reorganized features are more robust by eliminating some distractions (such as occlusion etc.). The experimental results show that our method outperforms the state-of-the-art methods on four mainstream datasets MARS, ILIDS-VID, PRID-2011 and DukeMTMC-VideoReID.

KeywordFeature Reconstruction Key-frame Extraction Relation Between Frames Temporal Modeling Video-based Person Re-identification
DOI10.1007/s13042-022-01560-4
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000784915900001
Scopus ID2-s2.0-85128362109
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorHuang, Guoheng
Affiliation1.School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, 510006, China
2.School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510006, China
3.Department of Computer and Information Science, University of Macau, SAR, 999078, Macao
4.School of Information Engineering, Guangdong University of Technology, Guangzhou, 510006, China
Recommended Citation
GB/T 7714
Lu, Zeng,Zhang, Ganghan,Huang, Guoheng,et al. Video person re-identification using key frame screening with index and feature reorganization based on inter-frame relation[J]. International Journal of Machine Learning and Cybernetics,2022,13(9):2745-2761.
APA Lu, Zeng,Zhang, Ganghan,Huang, Guoheng,Yu, Zhiwen,Pun, Chi Man,Zhang, Weiwen,Chen, Junan,&Ling, Wing Kuen.(2022).Video person re-identification using key frame screening with index and feature reorganization based on inter-frame relation.International Journal of Machine Learning and Cybernetics,13(9),2745-2761.
MLA Lu, Zeng,et al."Video person re-identification using key frame screening with index and feature reorganization based on inter-frame relation".International Journal of Machine Learning and Cybernetics 13.9(2022):2745-2761.
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