Title
Deep Hybrid Similarity Learning for Person Re-identification.
Abstract
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
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 Zhu17810.10
Huanqiang Zeng239536.94
Shengcai Liao3258298.34
Zhen Lei43613157.95
Canhui Cai533927.80
Lixin Zheng6242.91