Uniform person re-identification

Person re-identification (person Re-ID) involves matching individuals across different cameras, a process widely applicable in security settings like shopping center surveillance. Technological advancements have led to improvements in person Re-ID, but challenges arise when individuals wear similar...

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Bibliographic Details
Main Author: Li, Dichen
Other Authors: Alex Chichung Kot
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/177687
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Institution: Nanyang Technological University
Language: English
Description
Summary:Person re-identification (person Re-ID) involves matching individuals across different cameras, a process widely applicable in security settings like shopping center surveillance. Technological advancements have led to improvements in person Re-ID, but challenges arise when individuals wear similar attire, impacting matching accuracy. This project focuses on uniform person re-identification, exploring existing datasets and cutting-edge methods. Methods are categorized into human parsing (e.g., Self-Correction for Human Parsing – SCHP) and attention-based approaches (e.g., Head-shoulder Attention Network - HAA). We implement various methods and conduct thorough performance evaluations using benchmark datasets such as White Re-ID, Black Re-ID, and NTUOutdoor-Color. Our assessment considers the strengths and weaknesses of these methods, providing insights for future enhancements.