Automatic Controlling Fish Feeding Machine using Feature Extraction of Nutriment and Ripple Behavior. (arXiv:2208.07011v1 [cs.CV])

Controlling fish feeding machine is challenging problem because experienced
fishermen can adequately control based on assumption. To build robust method
for reasonable application, we propose automatic controlling fish feeding
machine based on computer vision using combination of counting nutriments and
estimating ripple behavior using regression and textural feature, respectively.
To count number of nutriments, we apply object detection and tracking methods
to acknowledge the nutriments moving to sea surface. Recently, object tracking
is active research and challenging problem in computer …

arxiv behavior cv extraction feature machine ripple