Datasets for "STELLA - a modular framework for StatioTemporal Event-based Lagrangian particLe trAcking"
| Item Type: | Dataset |
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| Title: | Datasets for "STELLA - a modular framework for StatioTemporal Event-based Lagrangian particLe trAcking" |
| Date: | 2026 |
| Creator: |
Sachs, Sebastian ; Jung, Steffen  ORCID: 0000-0001-8021-791X ; Kahl, Max ORCID: 0009-0003-1084-5672 ; Keuper, Margret ORCID: 0000-0002-8437-7993 ; Willert, Christian ; Cierpka, Christian
|
| Divisions: | School of Business Informatics and Mathematics > Data Science (Paulheim 2018-) School of Business Informatics and Mathematics > Machine Learning (Keuper 2024-) |
| Publisher: | Zenodo |
| DDC Classification: |
004 Computer science, internet |
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| Abstract: | We introduce STELLA (v1.0.2), a modular framework for statiotemporal event-based Lagrangian particle tracking in fluid flows. The framework is implemented as a GUI in python and takes the raw event stream obtained from an event-based camera as input. Once the data is loaded, the processing is done in four steps: Preprocessing, Detection, Tracking, Validation. In preprocessing, a ROI can be set in time and space and the filtered events can be saved. Subsequently, different algorithms for direct processing and image-based detection can be used to identify clustered events associated to individual particles. Based on the clustered events, particle tracks (position, velocity) can be derived by using a Kalman filter, spline fitting or hybrid approaches. Finally, a track quality filter and a neighborhood filter can be applied to reject spurious tracks during validation. In every step, the evaluation results can be saved and loaded in a way that also just single modules of STELLA can be used. For further information, please find our paper here: STELLA: a modular framework for SpatioTemporal Event-based Lagrangian particLe trAcking | Experiments in Fluids | Springer Nature Link (English) |
| External Identifier for Data: | https://zenodo.org/records/21531421 |
| URL: | https://madata.bib.uni-mannheim.de/1189/ |
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| Access (Controlled): | Only Metadata |
| License (Controlled): | Creative Commons: CC-BY | Attribution 4.0 (recommended) |
| Related Publication(s) in MADOC: | Sachs, Sebastian und Jung, Steffen und Kahl, Max und Keuper, Margret und Willert, Christian und Cierpka, Christian (2026), STELLA: a modular framework for SpatioTemporal Event-based Lagrangian particLe trAcking |
Full text not available from this repository.
| Date Deposited: | 04 Sep 2026 13:48 |
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| Last Modified: | 04 Sep 2026 13:48 |
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