• Corpus ID: 56884341

Computerized imaging techniques for fish tracking in behavioural studies

@inproceedings{Ortega2004ComputerizedIT,
  title={Computerized imaging techniques for fish tracking in behavioural studies},
  author={Sonia Duarte Ortega and Joan Oca Baradad and Lourdes Reig Puig and Rosa Flos Bassols},
  year={2004}
}
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7 Citations

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Three-dimensional location of target fish by monocular infrared imaging sensor based on a L–z correlation model
Fish Monitoring and Sizing Using Computer Vision
TLDR
An image processing algorithm, based in a non invasive 3D optical stereo system and the use of computer vision techniques, to study fish in fish tanks or pools is proposed.
Automatic Fish Segmentation on Vertical Slot Fishways Using SOM Neural Networks
TLDR
Artificial Neural Networks have been used to detect fishes using visual information sampled by an underwater camera system using a ground true dataset and different approaches tested providing promising results.
Detection of Fishes in Turbulent Waters Based on Image Analysis
TLDR
A SOM neural network is used to detect fishes in images from an underwater camera system built in a vertical slot fishway, an hydraulic structure built in obstructions in rivers to allow the upstream migration of fishes.
Natural and Artificial Computation in Engineering and Medical Applications
TLDR
An Ant Colony Optimization algorithm for solving the Dynamic Vehicle Routing Problem with Time Windows is proposed and results are presented on a benchmark that generalizes Solomon’s classical benchmark with varying degrees of dynamicity and different variants, including pheromone preservation and the min-max ant system.
Optical Fish Trajectory Measurement in Fishways through Computer Vision and Artificial Neural Networks
Vertical slot fishways are hydraulic structures that allow the upstream migration of fish through obstructions in rivers. The appropriate design of a vertical slot fishway depends on the interplay…
Optical Fish Tracking in Fishways using Neural Networks
TLDR
This paper puts forward a Computer Vision based algorithm to analyze fish trajectories in high turbulence conditions in artificial structures called vertical slot fishways, designed to allow the upstream migration of fish through obstructions in rivers.