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Multi-Proxy Constraint Loss for Vehicle Re-Identification

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成果类型:
期刊论文
作者:
Chen, Xu;Sui, Haigang*;Fang, Jian;Zhou, Mingting;Wu, Chen
通讯作者:
Sui, Haigang
作者机构:
[Zhou, Mingting; Chen, Xu; Sui, Haigang] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China.
[Fang, Jian] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.
[Wu, Chen] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.
通讯机构:
[Sui, Haigang] W
Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Multi‐proxy constraint loss;Sampling considering viewpoints;Vehicle re‐identification
期刊:
Sensors
ISSN:
1424-3210
年:
2020
卷:
20
期:
18
页码:
5142
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41771457]; China Postdoctoral Science FoundationChina Postdoctoral Science Foundation [2018M642875]
机构署名:
本校为其他机构
院系归属:
城市与环境科学学院
国家数字化学习工程技术研究中心
摘要:
Vehicle re‐identification plays an important role in cross‐camera tracking and vehicle search in surveillance videos. Large variance in the appearance of the same vehicle captured by different cameras and high similarity of different vehicles with the same model poses challenges for vehicle re‐identification. Most existing methods use a center proxy to represent a vehicle identity; however, the intra‐class variance leads to great difficulty in fitting images of the same identity to one center feature and the images with high similarity belo...

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