Person Re-Identification Based on Partition Adaptive Network Structure and Channel Partition Weight Adaptive

doi:10.1109/ACCESS.2021.3097632

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	Person Re-Identification Based on Partition Adaptive Network Structure and Channel Partition Weight Adaptive
	Chen, Wenjie 1; Yang, Fan 2
	2021
发表期刊	IEEE Access
ISSN	2169-3536
EISSN	2169-3536
卷号	9 页码:101402-101413
摘要	This article noticed that the feature of the block in human body image is noticeable, some algorithms in pedestrian re-identification are based on partitioning the human body to calculate the similarity between pedestrians images. However, it is not easy to find a proper method to partition the pedestrian image. This article proposes a method partition adaptive network structure (PANS) to automatically determine the partition scheme. This method can save much work to find a suitable partitioning scheme, and the effect of the automatic partitioning scheme is better than that of the manual partitioning scheme. In addition, this paper proposes a pedestrian re-recognition method based on channel partition weight adaptive (CPWA). We obtained better results on three public pedestrian re-identification data sets compared with the baseline. This method, combined with the automatic partitioning scheme proposed in this article, can improve results. We have done experiments on the three public data sets of market-1501, DukeMTMC-Reid, and CUHK03, proving the superiority of the two methods proposed in this article.
关键词	Feature extraction Adaptive systems Partitioning algorithms Manuals Deep learning Adaptation models Training Channel-partition-weight-adaptive deep learning partition-adaptive-network-structure person re-identification Adaptive networks Automatic partitioning Human bodies Partition schemes Pedestrian re identification Person re identifications Public pedestrian Recognition methods
DOI	10.1109/ACCESS.2021.3097632
收录类别	SCIE ; EI
语种	英语
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000678304900001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
EI入藏号	20213010675455
原始文献类型	Article ; Journal article (JA)
出版地	PISCATAWAY
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.cqcet.edu.cn/handle/39TD4454/3505
专题	重庆电子科技职业大学
作者单位	1.Chongqing Coll Elect Engn, Chongqing 401331, Peoples R China; 2.ZTE Corp Nanjing Res & Dev Ctr, Nanjing 210012, Peoples R China
推荐引用方式 GB/T 7714	Chen, Wenjie,Yang, Fan. Person Re-Identification Based on Partition Adaptive Network Structure and Channel Partition Weight Adaptive[J]. IEEE Access,2021,9:101402-101413.
APA	Chen, Wenjie,&Yang, Fan.(2021).Person Re-Identification Based on Partition Adaptive Network Structure and Channel Partition Weight Adaptive.IEEE Access,9,101402-101413.
MLA	Chen, Wenjie,et al."Person Re-Identification Based on Partition Adaptive Network Structure and Channel Partition Weight Adaptive".IEEE Access 9(2021):101402-101413.

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