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Authors: Regina Pohle-Fröhlich and Tobias Bolten

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

Keyword(s): Insect Monitoring, Dynamic Vision Sensor, Event Camera.

Abstract: A decline in insect populations has been observed for many years. Therefore, it is necessary to measure the number and species of insects to evaluate the effectiveness of the interventions taken against this decline. We describe a sensor-based approach to realize an insect monitoring system utilizing a Dynamic Vision Sensor (DVS). In this concept study, the processing steps required for this are discussed and suggestions for suitable processing methods are given. On the basis of a small dataset, a clustering and filtering-based labeling approach is proposed, which is a promising option for the preparation of larger DVS insect monitoring datasets. An U-Net based segmentation was tested for the extraction of insect flight trajectories, achieving an F1-score of ≈ 0.91. For the discrimination between different species, the classification of polarity images or simulated grayscale images is favored.

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Paper citation in several formats:
Pohle-Fröhlich, R. and Bolten, T. (2023). Concept Study for Dynamic Vision Sensor Based Insect Monitoring. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP; ISBN 978-989-758-634-7; ISSN 2184-4321, SciTePress, pages 411-418. DOI: 10.5220/0011775500003417

@conference{visapp23,
author={Regina Pohle{-}Fröhlich. and Tobias Bolten.},
title={Concept Study for Dynamic Vision Sensor Based Insect Monitoring},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP},
year={2023},
pages={411-418},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011775500003417},
isbn={978-989-758-634-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP
TI - Concept Study for Dynamic Vision Sensor Based Insect Monitoring
SN - 978-989-758-634-7
IS - 2184-4321
AU - Pohle-Fröhlich, R.
AU - Bolten, T.
PY - 2023
SP - 411
EP - 418
DO - 10.5220/0011775500003417
PB - SciTePress

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