Multi-Branch Feature Alignment Network for Misaligned and Occluded Person Re-Identification

Multi-Branch Feature Alignment Network for Misaligned and Occluded Person Re-Identification

As a pivotal computer vision technique, person re-identification (re-ID) assumes a paramount role in bolstering public security. During the process of computing feature similarities among person images, misaligned and occluded body parts may impede accurate identity retrieval. To mitigate these chal...

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Bibliographic Details
Main Authors: Chunyan Lyu, Hai Huang, Lixi Zhang, Wenting Zhu, Zhengyang Wang, Kejun Wang, Caidong Jiao
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Person re-identification
feature alignment
feature-weighted fusion
pixel level
Online Access:https://ieeexplore.ieee.org/document/10745484/
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https://ieeexplore.ieee.org/document/10745484/

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