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Onboard Robust Visual Tracking for UAVs Using a Reliable Global-Local Object Model
In this paper, we present a novel onboard robust visual algorithm for long-term arbitrary 2D and 3D object tracking using a reliable global-local object model for unmanned aerial vehicle (UAV) applications, e.g., autonomous tracking and chasing a moving target. The first main approach in this novel...
Autores principales: | Fu, Changhong, Duan, Ran, Kircali, Dogan, Kayacan, Erdal |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5038684/ https://www.ncbi.nlm.nih.gov/pubmed/27589769 http://dx.doi.org/10.3390/s16091406 |
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