A method to estimate prey density from single-camera images: a case study with chinstrap penguins and Antarctic krill dataset ...

• Main Author: Victoria Hermanson
• Format: Dataset
• Language: unknown
• Published: Zenodo 2024
• Subjects: Antarc*; Antarctic; Antarctic Krill; Antarctica; antarcticus; Chinstrap penguin; Euphausia superba; Livingston Island
• Online Access: https://dx.doi.org/10.5281/zenodo.10883787; https://zenodo.org/doi/10.5281/zenodo.10883787

Estimating the densities of marine prey observed in animal-borne video loggers when encountered by foraging predators represents an important challenge for understanding predator-prey interactions in the marine environment. We used video images collected during the foraging trip of one chinstrap penguin (Pygoscelis antarcticus) from Cape Shirreff, Livingston Island, Antarctica to develop a novel approach for estimating the density of Antarctic krill (Euphausia superba) encountered during foraging activities. Using the open-source Video and Image Analytics for a Marine Environment (VIAME), we trained a neural network model to identify video frames containing krill. Our image classifier has an overall accuracy of 73%, with a positive predictive value of 83% for prediction of frames containing krill. We then developed a method to estimate the volume of water imaged, thus the density (N·m-3) of krill, in the 2-dimensional images. The method is based on the maximum range from the camera where krill remain visibly ...