Language and vision based person re-identification for surveillance systems using deep learning with LIP layers-Reference-Cited by-同舟云学术

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Language and vision based person re-identification for surveillance systems using deep learning with LIP layers

Published:2023-04 Issue: Volume:132 Page:104658
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Bukhari Maryam,Yasmin Sadaf,Naz Sheneela,Maqsood Muazzam,Rew Jehyeok,Rho Seungmin

Funder

National Research Foundation of Korea

Korea Ministry of Science and ICT

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference68 articles.

1. Personal identification based on deep learning technique using facial images for intelligent surveillance systems;Pham;Int. J. Mach. Learn. Comput.,2019

2. Voice biometrics: Deep learning-based voiceprint authentication system;Boles,2017

3. FM net: iris segmentation and recognition by using fully and multi-scale CNN for biometric security;Tobji;Appl. Sci.,2019

4. On-the-fly finger-vein-based biometric recognition using deep neural networks;Kuzu;IEEE Trans. Inform. Foren. Secur.,2020

5. Biometrics, identification and surveillance;Lyon;Bioethics,2008

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1. A Generative Approach to Person Reidentification;Sensors;2024-02-15

2. A Multifaceted Approach to Stock Market Trading Using Reinforcement Learning;IEEE Access;2024

3. Explainable graph-attention based person re-identification in outdoor conditions;Multimedia Tools and Applications;2023-10-10

4. Approach to the Luxand Face Facial Recognition System Aimed at the Detection of People in the Criminalistics Unit of the PNP in Huancayo City, Peru;Proceedings of the 2023 6th International Conference on Information Science and Systems;2023-08-11

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