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Robust Visual Tracking with Reliable Object Information and Kalman Filter
Object information significantly affects the performance of visual tracking. However, it is difficult to obtain accurate target foreground information because of the existence of challenging scenarios, such as occlusion, background clutter, drastic change of appearance, and so forth. Traditional cor...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865692/ https://www.ncbi.nlm.nih.gov/pubmed/33525624 http://dx.doi.org/10.3390/s21030889 |