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Application of the particle filter to tracking of fish in aquaculture research
Pinkiewicz, T and Williams, R and Purser, J (2008) Application of the particle filter to tracking of fish in aquaculture research. In: Digital Image Computing: Techniques and Applications 2008, 1-3 December 2008, Canberra.
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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.
|Item Type:||Conference or Workshop Item (Paper)|
|Keywords:||particle filter, target tracking, data association, global nearest neighbour, aquaculture, fish behaviour, fish movement|
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|Date Deposited:||20 Jan 2009 01:22|
|Last Modified:||18 Nov 2014 03:54|
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Available Versions of this Item
Application of the particle filter to tracking of fish in aquaculture research. (deposited 16 Sep 2008 22:29)
Application of the particle filter to tracking of fish in aquaculture research. (deposited 01 Oct 2008 23:21)
- Application of the particle filter to tracking of fish in aquaculture research. (deposited 20 Jan 2009 01:22) [Currently Displayed]
- Application of the particle filter to tracking of fish in aquaculture research. (deposited 01 Oct 2008 23:21)
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