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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2021-06-01
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Series: | IET Image Processing |
Online Access: | https://doi.org/10.1049/ipr2.12150 |