A contribution to 3D tracking of deformable bubbles in swarms using temporal information Article Swipe
Lantian Wang
,
Tian Ma
,
Dirk Lucas
,
Kerstin Eckert
,
Hendrik Hessenkemper
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1007/s00348-025-03963-9
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1007/s00348-025-03963-9
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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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s00348-025-03963-9
- OA Status
- hybrid
- Cited By
- 2
- References
- 38
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4406856296
All OpenAlex metadata
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https://openalex.org/W4406856296Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1007/s00348-025-03963-9Digital Object Identifier
- Title
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A contribution to 3D tracking of deformable bubbles in swarms using temporal informationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-01-27Full publication date if available
- Authors
-
Lantian Wang, Tian Ma, Dirk Lucas, Kerstin Eckert, Hendrik HessenkemperList of authors in order
- Landing page
-
https://doi.org/10.1007/s00348-025-03963-9Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://doi.org/10.1007/s00348-025-03963-9Direct OA link when available
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Tracking (education), Computer science, Computer vision, Psychology, PedagogyTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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38Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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