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Robust thermal infrared tracking via an adaptively multi-feature fusion model
When dealing with complex thermal infrared (TIR) tracking scenarios, the single category feature is not sufficient to portray the appearance of the target, which drastically affects the accuracy of the TIR target tracking method. In order to address these problems, we propose an adaptively multi-fea...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer London
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553631/ https://www.ncbi.nlm.nih.gov/pubmed/36245795 http://dx.doi.org/10.1007/s00521-022-07867-1 |