Learning adaptive spatial–temporal regularized correlation filters for visual tracking

Abstract Recently, there have been many visual tracking methods based on correlation filters. These methods mainly enhance the tracking performances by considering the information of background, space, or time in the appearance model. This paper proposes an effective tracking method, named adaptive...

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Bibliografische gegevens
Hoofdauteurs: Jianwei Zhao, Yangxiao Li, Zhenghua Zhou
Formaat: Artikel
Taal:English
Gepubliceerd in: Wiley 2021-06-01
Reeks:IET Image Processing
Onderwerpen:
Online toegang:https://doi.org/10.1049/ipr2.12150