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Multi‐template temporal information fusion for Siamese object tracking

Multi‐template temporal information fusion for Siamese object tracking

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d9bb27f3aea342f4a06ce1f5eb2ef9cc

Multi‐template temporal information fusion for Siamese object tracking

About this item

Full title

Multi‐template temporal information fusion for Siamese object tracking

Publisher

Stevenage: John Wiley & Sons, Inc

Journal title

IET Computer Vision, 2023-02, Vol.17 (1), p.51-61

Language

English

Formats

Publication information

Publisher

Stevenage: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

The object tracking algorithm based on Siamese network often extracts the deep feature of the target to be tracked from the first frame of the video sequence as a template, and uses the template for the whole tracking process. Because the manually annotated target in the first frame of video sequence is more accurate, these algorithms often have st...

Alternative Titles

Full title

Multi‐template temporal information fusion for Siamese object tracking

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_d9bb27f3aea342f4a06ce1f5eb2ef9cc

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d9bb27f3aea342f4a06ce1f5eb2ef9cc

Other Identifiers

ISSN

1751-9632

E-ISSN

1751-9640

DOI

10.1049/cvi2.12128

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