Long-term re-identification
Person re-identification (Re-ID) is a problem that has existed for many years and many state of-the-art short-term Re-ID models have been created. However, most of these models focus on short-term Re-ID instead of long-term Re-ID. In recent years, the focus of the community is shifting towards L...
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| 格式: | Final Year Project |
| 語言: | English |
| 出版: |
Nanyang Technological University
2023
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/167465 |
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| 機構: | Nanyang Technological University |
| 語言: | English |
| 總結: | Person re-identification (Re-ID) is a problem that has existed for many years and many state of-the-art short-term Re-ID models have been created. However, most of these models focus
on short-term Re-ID instead of long-term Re-ID. In recent years, the focus of the community
is shifting towards Long-Term Re-ID. For Long-Term Re-ID, the Re-ID models must be
insensitive to the subject’s clothing as we assume that changing of clothes are likely to occur.
Recently, a long-term Re-ID model, called SPS, with a result almost double its predecessor
was shared. Therefore, in this report, I surveyed recent existing long-term clothing-changing
Re-ID methods such as the LTCC, PRCC and SPS methods and also the existing dataset
available such as LTCC, PRCC and P-DESTRE dataset. I conducted comprehensive
evaluations of these methods on these benchmark datasets to analyse their effectiveness and
limitations. |
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