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A new multi-object tracking pipeline based on computer vision techniques for mussel farms

  • 0School of Mathematics and Statistics, Victoria University of Wellington, Wellington, New Zealand.
Journal of the Royal Society of New Zealand +

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December 9, 2024

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December 9, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

This study introduces a new computer vision pipeline to automatically track mussel floats, reducing labor for New Zealand

Area Of Science

  • Aquaculture technology
  • Computer vision applications
  • Image processing

Background

  • Mussel farming is vital to New Zealand's economy and communities.
  • Current mussel float tracking is labor-intensive, relying on manual boat trips.
  • Automating float tracking presents challenges due to identical targets and varied image conditions.

Purpose Of The Study

  • To develop an automated computer vision pipeline for detecting and tracking mussel floats.
  • To alleviate the labor burden on mussel farmers through technological integration.
  • To address the challenge of tracking numerous identical objects in diverse aquatic environments.

Main Methods

  • A novel computer vision pipeline comprising float detection, description, and matching.
  • Utilizing image processing operators for robust float detection across various sizes.
  • Employing a unique descriptor based on neighbor positions for float identification.
  • Implementing image registration for accurate float matching between adjacent frames.

Main Results

  • The proposed pipeline achieved 82.9% MOTA (Multiple Object Tracking Accuracy).
  • This performance is 18% higher than existing deep learning-based methods.
  • The system operates effectively without requiring model training.

Conclusions

  • The developed computer vision pipeline offers an efficient and automated solution for mussel float tracking.
  • This technology significantly improves upon current methods, offering higher accuracy and reduced labor.
  • The approach is suitable for real-world application in mussel farming, particularly in environments like New Zealand's Marlborough Sounds.

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