Title | ||
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Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-Identification |
Abstract | ||
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Many unsupervised approaches have been proposed recently for the video-based re-identification problem since annotations of samples across cameras are time-consuming. However, higher-order relationships across the entire camera network are ignored by these methods, leading to contradictory outputs when matching results from different camera pairs are combined. In this paper, we address the problem... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/TCSVT.2020.3043444 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | DocType | Volume |
Cameras,Reliability,Measurement,Task analysis,Estimation,Data models,Training | Journal | 31 |
Issue | ISSN | Citations |
10 | 1051-8215 | 1 |
PageRank | References | Authors |
0.35 | 10 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xueping Wang | 1 | 1 | 1.02 |
Rameswar Panda | 2 | 85 | 14.02 |
Min Liu | 3 | 23 | 9.55 |
Yaonan Wang | 4 | 1150 | 118.92 |
Amit K. Roy Chowdhury | 5 | 1153 | 73.96 |