Person Re-Identification by Low-Dimensional Features and Metric Learning
Person re-identification (Re-ID) has attracted attention due to its wide range of applications. Most recent studies have focused on the extraction of deep features, while ignoring color features that can remain stable, even for illumination variations and the variation in person pose. There are also...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI AG
2021-11-01
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| シリーズ: | Future Internet |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/1999-5903/13/11/289 |
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