Learning to rank: An intelligent system for person reidentification-Reference-Cited by-同舟云学术

Learning to rank: An intelligent system for person reidentification

Published:2022-01-25 Issue:9 Volume:37 Page:5924-5948
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Khan Samee Ullah¹^ORCID,Haq Ijaz Ul¹^ORCID,Khan Noman¹^ORCID,Muhammad Khan²^ORCID,Hijji Mohammad³^ORCID,Baik Sung Wook¹^ORCID

Affiliation:

1. Sejong University Seoul South Korea

2. Visual Analytics for Knowledge Laboratory (VIS2KNOW Lab), School of Convergence, College of Computing and Informatics Sungkyunkwan University Seoul South Korea

3. Faculty of Computers & Information Technology University of Tabuk Tabuk Saudi Arabia

Publisher

Hindawi Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22820

Reference57 articles.

1. Positive unlabeled learning‐based anomaly detection in videos

2. UllahFUM ObaidatMS MuhammadK et al.An intelligent system for complex violence pattern analysis and detection.Int J Intell Syst.2021.doi:10.1002/int.22537

3. Enhancing the association in multi‐object tracking via neighbor graph

4. A benchmark for clothes variation in person re‐identification

5. VariorRR HaloiM.Gated siamese convolutional neural network architecture for human re‐identification. In:Proceedings of the European Conference on Computer Vision. European Conference on Computer Vision; 2016:791‐808.

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