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...
Saved in:
| 主要作者: | |
|---|---|
| 其他作者: | |
| 格式: | Thesis-Master by Coursework |
| 語言: | English |
| 出版: |
Nanyang Technological University
2024
|
| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/177687 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| 總結: | 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. |
|---|