Title
Exploiting Global Camera Network Constraints for Unsupervised Video Person Re-Identification
Abstract
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 Wang111.02
Rameswar Panda28514.02
Min Liu3239.55
Yaonan Wang41150118.92
Amit K. Roy Chowdhury5115373.96