Abstract | ||
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Person re-identification (Re-ID) aims to match person images captured from two non-overlapping cameras. In this paper, a deep hybrid similarity learning (DHSL) method for person Re-ID based on a convolution neural network (CNN) is proposed. In our approach, a light CNN learning feature pair for the input image pair is simultaneously extracted. Then, both the elementwise absolute difference and mul... |
Year | DOI | Venue |
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2018 | 10.1109/TCSVT.2017.2734740 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | DocType | Volume |
Euclidean distance,Convolution,Neural networks,Feature extraction,Correlation,DH-HEMTs | Journal | 28 |
Issue | ISSN | Citations |
11 | 1051-8215 | 13 |
PageRank | References | Authors |
0.56 | 33 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jianqing Zhu | 1 | 78 | 10.10 |
Huanqiang Zeng | 2 | 395 | 36.94 |
Shengcai Liao | 3 | 2582 | 98.34 |
Zhen Lei | 4 | 3613 | 157.95 |
Canhui Cai | 5 | 339 | 27.80 |
Lixin Zheng | 6 | 24 | 2.91 |