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Fast Tracking Algorithm Based on Spatial Regularization Correlation Filter
To solve the problem of the redundant number of training samples in a correlation filter-based tracking algorithm, the training samples were implicitly extended by circular shifts of the given target patches, and all the extended samples were used as negative samples for the fast online learning of...
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| 主要な著者: | , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI AG
2022-04-01
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| シリーズ: | Information |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/2078-2489/13/4/184 |
| タグ: |
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