3D Flight Path Tracking of Butterflies by Image Processing to investigate movement in response to condition and environment Oliver Mitesser, Ádám Kőrösi,

XXXII. International Conference Science in Practice, Osijek 2014

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3D Flight Path Tracking of Butterflies by Image Processingto

investigate movement in response to condition and environment

Oliver Mitesser, Ádám Kőrösi, Thomas Hovestadt, Peter Möhringer Gunther Bohn,

University of Applied Sciences Würzburg/Schweinfurt GermanyBio Zentrum der Universität Würzburg


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The problem“there is no information available on navigation abilities of butterflies in small-scale foraging movement and whether and how they might use spatial information

Bio-Zentrum University of Würzburg


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I. Introduction

Goal of the project:

► Make behavioural experiments on butterflies► Explore sensory abilities ► Identify role of internal status like hunger-level, egg-load etc► Explore memory and learning effects► Butterflies either memorize or mark host plants visited ► Explore inference and anticipation


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II. Flight cage and cameras:

► Near natural environment in a flight cage► Cameras record movements of the butterflies


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The test flight cage (8m x 8m x 3m)


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S3D-HD cameras mounted on top of the flight cage


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S3D-HD cameras mounted on top of the flight cage


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The butterfly to be observed Polyommatus Icarus/Common Blue/Hauhechelbläuling/Közönséges Boglárka

malefemale


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butterflies in transport cages


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Markers and artificial flowers in the flight cage


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III. Image and data processing

► Image processing detects butterflies and determines flight trajectories► Statistics give insight into the behaviour of the butterflies► Identify decision rules► Create and improve movement model


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S3D camera

Disparity related to position of object

screen position

object behind the screen

object in front of screen


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Disparity in front and behind the screen


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Result of a 3D analysis OMNITEC OTR 1001 TV test system


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IV. First results

Example video


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Example of data management and processingpart of x-y trajectory


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V. Conclusion

Already promising first results:

► Test flight cage and consumer cameras show viability► Image processing is still to be developed ► Explore memory and learning effects (in the future)► Explore inference and anticipation (in the future)► Define and improve movement model (in the future)► Compare model to measured trajectories (in the future)


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Thanks for paying attention

Questions?

Documents

3D Flight Path Tracking of Butterflies by Image Processing to investigate movement in response to condition and environment Oliver Mitesser, Ádám Kőrösi,