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...

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Detalles Bibliográficos
Autores principales: Fu, Changhong, Duan, Ran, Kircali, Dogan, Kayacan, Erdal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
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

Internet

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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