Name
Title | ||
|---|---|---|
Vision-based discrimination of tuna individuals in grow-out cages through a fish bending model. |
Abstract | ||
|---|---|---|
•A robust deformable 2D model that adapts to tuna movements is proposed.•Fish shape, size, orientation and swimming flexion are automatically obtained.•Success of the fitting process is computed with a proposed Fitting Error Index (FEI).•Experiments found a FEI threshold of 2.2 for optimum discrimination of individuals.•The model contributes to a near-future application to automatic biomass estimation. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.compag.2016.10.009 | Computers and Electronics in Agriculture |
Keywords | Field | DocType |
Shape modelling,Fish detection,Underwater video processing,Computer vision,Image segmentation,Automatic biomass estimation | Computer vision,Stereoscopy,Silhouette,Segmentation,Bending,Image segmentation,Artificial intelligence,Tuna,Engineering,Fishing industry,Biometrics | Journal |
Volume | ISSN | Citations |
130 | 0168-1699 | 1 |
PageRank | References | Authors |
0.35 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vicente Luis Atienza Vanacloig | 1 | 6 | 3.78 |
| Gabriela Andreu García | 2 | 30 | 6.03 |
| Fernando López-García | 3 | 1 | 0.35 |
| José M. Valiente-González | 4 | 1 | 0.68 |
| Vicente Puig-Pons | 5 | 2 | 0.97 |