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Krill Tracking neighbor connections
The Antarctic krill fishery is the largest fishery in the Southern Ocean and its management relies on a thorough understanding of the biology and ecology of the species. This includes an understanding of krill behaviour.
Video imagery of moving krill was acquired using two digital video cameras located above a tank providing stereo-coverage. The video streams were synchronised so that locations of individual krill could be tracked from frame to frame and in space using standard stereo-photogrammetric techniques. This generated a large amount of data which is most easily interpreted with a visual representation through time.
Using Eonfusion, raw positional data (X, Y, Z) were used to derive metrics such as swim speed and direction, acceleration and nearest neighbour data. Visualized in 4D in Eonfusion, these were used to explore the behaviour of individuals over time, with respect to their location in the aggregation, and to neighbouring krill. CAD objects show the tank and video system configuration, and a sub-set of time series data is controlled within the scene. The combined track and video data provide the relative geometry and a visual assessment of the orientation of krill. Krill swim speed is correlated and distance to the nearest neighbour (<50 mm) is mapped through time to reveal complex relationships and school dynamics.
Eonfusion provides the capability to track, visualize and compare complex and changing three-dimensional patterns, and to simultaneously view original video imagery, location, velocity and acceleration data. It also provides a capability to visualise the measurement errors associated with each of these derived metrics.
Myriax gratefully acknowledges Rob King and So Kawaguchi at the Australian Antarctic Division, Jon Osborn at the University of Tasmania and David Murphy at Georgia Tech.
Click here to see a video of this application in Eonfusion.
