Survey on person re‐identification based on deep learning
Author:
Affiliation:
1. College of Automation, Harbin Engineering UniversityNo. 145 Nantong Street, Nangang DistrictHarbinPeople's Republic of China
2. Department of StatisticsUniversity of California, Los AngelesLos AngelesCA90095USA
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Institution of Engineering and Technology (IET)
Subject
Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Information Systems
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/trit.2018.1001
Reference62 articles.
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5. LiuK.MaB.ZhangW.et al.: ‘A spatio‐temporal appearance representation for video‐based pedestrian Re‐identification’.IEEE Int. Conf. on Computer Vision Santiago Chile 2015 pp.3810–3818
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