A contribution to 3D tracking of deformable bubbles in swarms using temporal information

Abstract Reliable Lagrangian 3D tracking of individual bubble swarm members allows a deeper understanding of hydrodynamic bubble–bubble interactions and their collective rise. For multi-view measurements, we have recently developed such a tracking method (Hessenkemper in Int J Multiph Flow 179:104932, 2024), which is able to track deformable bubbles with low to moderate view obstruction through the bubbles to each other. In the present work, we aim to further enhance the 3D tracking performance by additionally incorporating 2D temporal information in the form of previously established 2D tracks in each camera view. The new 3D tracking method is able to disambiguate cross-view object associations at each time step by using the 2D track information accumulated over time. In addition, the temporal information from multiple 2D domains is used in two post-processing steps to improve the completeness of established 3D trajectories. Compared to the previous 3D tracking method, the extended 3D tracking framework shows noticeable improvements in tracking ability, accuracy, and completeness of trajectories. Graphical abstract

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Publication Details

Journal
Experiments in Fluids
Published
2025-01-27
DOI
https://doi.org/10.1007/s00348-025-03963-9
Citations
3
Primary Topic
Fluid Dynamics and Mixing
Type
article
Field-Weighted Citation Impact
2.02

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article

A contribution to 3D tracking of deformable bubbles in swarms using temporal information

Dirk Lucas, Kerstin Eckert, Hendrik Hessenkemper, Tian Ma et al.
3 citations
Experiments in Fluids
Fluid Dynamics and Mixing
2.02
article

A contribution to 3D tracking of deformable bubbles in swarms using temporal information

Dirk Lucas, Kerstin Eckert, Hendrik Hessenkemper, Tian Ma, Lantian Wang
article en
3 citations

Abstract

Abstract Reliable Lagrangian 3D tracking of individual bubble swarm members allows a deeper understanding of hydrodynamic bubble–bubble interactions and their collective rise. For multi-view measurements, we have recently developed such a tracking method (Hessenkemper in Int J Multiph Flow 179:104932, 2024), which is able to track deformable bubbles with low to moderate view obstruction through the bubbles to each other. In the present work, we aim to further enhance the 3D tracking performance by additionally incorporating 2D temporal information in the form of previously established 2D tracks in each camera view. The new 3D tracking method is able to disambiguate cross-view object associations at each time step by using the 2D track information accumulated over time. In addition, the temporal information from multiple 2D domains is used in two post-processing steps to improve the completeness of established 3D trajectories. Compared to the previous 3D tracking method, the extended 3D tracking framework shows noticeable improvements in tracking ability, accuracy, and completeness of trajectories. Graphical abstract

Experiments in FluidsVol. 66(2)
Helmholtz-Zentrum Dresden-Rossendorf (DE), Technische Universität Dresden (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 16%
Fluid Dynamics and Mixing
2.02
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