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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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Bibliografische gegevens
Hoofdauteurs: Caihong Liu, Mayire Ibrayim, Askar Hamdulla
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2022-04-01
Reeks:Information
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Online toegang:https://www.mdpi.com/2078-2489/13/4/184
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