loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

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

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.17.132.171

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Arning, J., Dalitz, C. and Pohle-Fröhlich, 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

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic