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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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Detalhes bibliográficos
Main Authors: Caihong Liu, Mayire Ibrayim, Askar Hamdulla
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2022-04-01
Colecção:Information
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Acesso em linha:https://www.mdpi.com/2078-2489/13/4/184
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