A Temporal Boosted YOLO-Based Model for Birds Detection around Wind Farms

Object detection for sky surveillance is a challenging problem due to having small objects in a large volume and a constantly changing background which requires high resolution frames. For example, detecting flying birds in wind farms to prevent their collision with the wind turbines. This paper pro...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Hiba Alqaysi, Igor Fedorov, Faisal Z. Qureshi, Mattias O’Nils
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	bird detection wind farms monitoring sky surveillance background subtraction YOLOv4 Photography TR1-1050 Computer applications to medicine. Medical informatics R858-859.7 Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/9539677c7e0a466589e586a994ce1c84
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Sea el primero en dejar un comentario!

A Temporal Boosted YOLO-Based Model for Birds Detection around Wind Farms

Ejemplares similares