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3D Flight Path Tracking of Butterflies by Image Processing to investigate movement in response to condition and environment. Oliver Mitesser, Ádám Kőrösi , Thomas Hovestadt , Peter Möhringer Gunther Bohn, University of Applied Sciences Würzburg /Schweinfurt Germany
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3D Flight Path Tracking of Butterflies by Image Processingtoinvestigatemovement in responsetoconditionandenvironment Oliver Mitesser, ÁdámKőrösi, Thomas Hovestadt, Peter Möhringer Gunther Bohn, University of Applied Sciences Würzburg/Schweinfurt Germany Bio Zentrum der UniversitätWürzburg XXXII. International Conference Science in Practice, Osijek 2014
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 XXXII. International Conference Science in Practice, Osijek 2014
I. Introduction • Goal of the project: • ► Make behaviouralexperiments 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 XXXII. International Conference Science in Practice, Osijek 2014
II. Flight cage and cameras: ► Near natural environment in a flight cage ► Cameras record movements of the butterflies XXXII. International Conference Science in Practice, Osijek 2014
The test flight cage (8m x 8m x 3m) XXXII. International Conference Science in Practice, Osijek 2014
S3D-HD cameras mounted on top of the flight cage XXXII. International Conference Science in Practice, Osijek 2014
S3D-HD cameras mounted on top of the flight cage XXXII. International Conference Science in Practice, Osijek 2014
The butterflytobeobservedPolyommatusIcarus/Common Blue/Hauhechelbläuling/KözönségesBoglárka male female XXXII. International Conference Science in Practice, Osijek 2014
butterflies in transportcages XXXII. International Conference Science in Practice, Osijek 2014
Markers andartificialflowers in theflightcage XXXII. International Conference Science in Practice, Osijek 2014
XXXII. International Conference Science in Practice, Osijek 2014
III. Image anddataprocessing ► 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 XXXII. International Conference Science in Practice, Osijek 2014
S3D camera object behind the screen screen position object in front of screen Disparity related to position of object XXXII. International Conference Science in Practice, Osijek 2014
Disparity in front and behind the screen XXXII. International Conference Science in Practice, Osijek 2014
Result of a 3D analysis OMNITECOTR 1001 TV test system XXXII. International Conference Science in Practice, Osijek 2014
IV. First results Example video XXXII. International Conference Science in Practice, Osijek 2014
Example of data management and processing part of x-y trajectory XXXII. International Conference Science in Practice, Osijek 2014
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) XXXII. International Conference Science in Practice, Osijek 2014
Thanksforpayingattention Questions? XXXII. International Conference Science in Practice, Osijek 2014