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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| 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 |