University of Tasmania
Browse
ParticleFilterTrackingFish.pdf (227.98 kB)

Application of the particle filter to tracking of fish in aquaculture research

Download (227.98 kB)
conference contribution
posted on 2023-05-26, 08:11 authored by Pinkiewicz, T, Williams, R, Purser, J
The analysis of fish movement as an indicator of fish behaviour plays an important role in aquaculture research. Currently observations are carried out manually using video recordings. In this paper we describe a tracking system which can automatically detect and track two fish in a video sequence in a small aquaculture tank. The system is based on the particle filter tracking algorithm augmented by an adaptive partition scheme and using a Global Nearest Neighbour approach for data association. Results show that this method is sufficient for simple interactions where fish bypass each other without significant changes in velocity. However, more complex scenarios involving occlusions, loss of tracks and fish manoeuvres can cause ambiguity during data association.

History

Issue

3

Publication status

  • Submitted

Event title

Digital Image Computing: Techniques and Applications 2008

Event Venue

Canberra

Date of Event (Start Date)

2008-12-01

Date of Event (End Date)

2008-12-03

Repository Status

  • Open

Usage metrics

    University Of Tasmania

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC