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Authors: Juliane Arning ; Christoph Dalitz and Regina Pohle-Fröhlich

Affiliation: Institute for Pattern Recognition, Niederrhein University of Applied Sciences, Reinarzstr. 49, Krefeld, Germany

Keyword(s): Event Camera, Clustering, Insect Monitoring.

Abstract: We present a method to separate insect flight trajectories in dynamic vision sensor data and for their mathematical description by smooth curves. The method consists of four steps: Pre-processing, clustering, post-processing, and curve fitting. As the time and space coordinates use different scales, we have rescaled the dimensions with data-based scale factors. For clustering, we have compared DBSCAN and MST-based clustering, and both suffered from undersegmentation. A suitable post-processing was introduced to fix this. Curve fitting was done with a non-parametric LOWESS smoother. The runtime of our method is sufficiently fast to be applied in real-time insect monitoring. The data used for evaluation only had two spatial dimensions, but the method can be applied to data with three spatial dimensions, too.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Arning, J., Dalitz, C., Pohle-Fröhlich and R. (2025). Separation of Insect Trajectories in Dynamic Vision Sensor Data. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP; ISBN 978-989-758-728-3; ISSN 2184-4321, SciTePress, pages 69-77. DOI: 10.5220/0013140500003912

@conference{visapp25,
author={Juliane Arning and Christoph Dalitz and Regina Pohle{-}Fröhlich},
title={Separation of Insect Trajectories in Dynamic Vision Sensor Data},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP},
year={2025},
pages={69-77},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013140500003912},
isbn={978-989-758-728-3},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP
TI - Separation of Insect Trajectories in Dynamic Vision Sensor Data
SN - 978-989-758-728-3
IS - 2184-4321
AU - Arning, J.
AU - Dalitz, C.
AU - Pohle-Fröhlich, R.
PY - 2025
SP - 69
EP - 77
DO - 10.5220/0013140500003912
PB - SciTePress

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