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Estimating the swimming speed of salmon in aquaculture sea cages using computer vision

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conference contribution
posted on 2023-05-26, 10:11 authored by Pinkiewicz, T, Gary PurserGary Purser, Williams, RN
In a commercial aquaculture farm, knowledge about fish behaviour can influence farm management, fish growth and operating costs. In this presentation we describe research towards the development of the first stage of a system that will track fish movement in a sea cage and automatically analyse fish behaviour based on the movement. This first stage involves the design and implementation of a tracking system that will calculate the average speed and direction of fish in a sea cage. The system uses an underwater camera which captures video to a digital recording device. Captured video is then analysed, using computer vision software, to produce an average speed for every sampling period. The software can track up to 8 fish at a time and uses the Kalman Filter technique for estimation of fish position and the Global Nearest Neighbour algorithm for measurement-to-track association.

History

Publication status

  • Unpublished

Event title

Australasian Aquaculture 2008 Conference

Event Venue

Brisbane

Date of Event (Start Date)

2008-08-03

Date of Event (End Date)

2008-08-06

Repository Status

  • Open

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