DATaR: Depth Augmented Target Redetection using Kernelized Correlation Filter

Unlike deep learning which requires large training datasets, correlation filter-based trackers like Kernelized Correlation Filter (KCF) use implicit properties of tracked images (circulant structure) for training in real time. Despite their popularity in tracking applications, there exists significa...

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Detalles Bibliográficos
Autores principales: Yadav, Srishti, Payandeh, Shahram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Regular Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9535240/
https://www.ncbi.nlm.nih.gov/pubmed/36217413
http://dx.doi.org/10.1007/s00530-022-00996-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9535240/
https://www.ncbi.nlm.nih.gov/pubmed/36217413
http://dx.doi.org/10.1007/s00530-022-00996-6

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