Cargando…
Zebrafish tracking using YOLOv2 and Kalman filter
Fish show rapid movements in various behavioral activities or associated with the presence of food. However, in periods of rapid movement, the rate at which occlusion occurs among the fish is quite high, causing inconsistency in the detection and tracking of fish, hindering the fish's identity...
Autores principales: | Barreiros, Marta de Oliveira, Dantas, Diego de Oliveira, Silva, Luís Claudio de Oliveira, Ribeiro, Sidarta, Barros, Allan Kardec |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865020/ https://www.ncbi.nlm.nih.gov/pubmed/33547349 http://dx.doi.org/10.1038/s41598-021-81997-9 |
Ejemplares similares
-
Zebrafish automatic monitoring system for conditioning and behavioral analysis
por: Barreiros, Marta de Oliveira, et al.
Publicado: (2021) -
A Tea Buds Counting Method Based on YOLOv5 and Kalman Filter Tracking Algorithm
por: Li, Yang, et al.
Publicado: (2023) -
Seedling maize counting method in complex backgrounds based on YOLOV5 and Kalman filter tracking algorithm
por: Li, Yang, et al.
Publicado: (2022) -
A novel interval type-2 fuzzy Kalman filtering and tracking of experimental data
por: Gomes, Daiana Caroline dos Santos, et al.
Publicado: (2021) -
Kalman filtering techniques for radar tracking
por: Ramachandra, K V
Publicado: (2000)