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

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Pinkiewicz, T and Purser, GJ and Williams, RN (2008) Estimating the swimming speed of salmon in aquaculture sea cages using computer vision. In: Australasian Aquaculture 2008 Conference, 3-6 August 2008, Brisbane. (Unpublished)

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Date Deposited: 25 May 2009 01:07
Last Modified: 18 Nov 2014 04:00
URI: http://eprints.utas.edu.au/id/eprint/8720
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