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

IF 2.5 3区工程技术 Q2 ENGINEERING, MECHANICAL Experiments in Fluids Pub Date : 2025-01-27 DOI:10.1007/s00348-025-03963-9

Lantian Wang, Tian Ma, Dirk Lucas, Kerstin Eckert, Hendrik Hessenkemper

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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.

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利用时间信息对蜂群中可变形气泡的三维跟踪做出贡献

对单个气泡群成员进行可靠的拉格朗日三维跟踪，可以更深入地了解流体动力学气泡与气泡的相互作用及其集体上升。对于多视图测量，我们最近开发了这样一种跟踪方法（Hessenkemper in Int J Multiph Flow 179:104932, 2024），该方法能够通过气泡相互跟踪具有低至中等视野障碍的可变形气泡。在目前的工作中，我们的目标是通过在每个摄像机视图中以先前建立的2D轨迹的形式额外结合2D时间信息来进一步增强3D跟踪性能。新的三维跟踪方法能够利用随时间积累的二维轨迹信息消除每个时间步的交叉视目标关联。此外，在两个后处理步骤中使用了来自多个2D域的时间信息，以提高所建立的3D轨迹的完整性。与之前的三维跟踪方法相比，扩展后的三维跟踪框架在跟踪能力、跟踪精度和轨迹完整性方面都有了明显的提高。

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来源期刊

Experiments in Fluids 工程技术-工程：机械

CiteScore

5.10

自引率

12.50%

发文量

157

审稿时长

3.8 months

期刊介绍： Experiments in Fluids examines the advancement, extension, and improvement of new techniques of flow measurement. The journal also publishes contributions that employ existing experimental techniques to gain an understanding of the underlying flow physics in the areas of turbulence, aerodynamics, hydrodynamics, convective heat transfer, combustion, turbomachinery, multi-phase flows, and chemical, biological and geological flows. In addition, readers will find papers that report on investigations combining experimental and analytical/numerical approaches.