0000000000304205

AUTHOR

Sven Eckert

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MHT-X: Offline Multiple Hypothesis Tracking with Algorithm X

2021

An efficient and versatile implementation of offline multiple hypothesis tracking with Algorithm X for optimal association search was developed using Python. The code is intended for scientific applications that do not require online processing. Directed graph framework is used and multiple scans with progressively increasing time window width are used for edge construction for maximum likelihood trajectories. The current version of the code was developed for applications in multiphase hydrodynamics, e.g. bubble and particle tracking, and is capable of resolving object motion, merges and splits. Feasible object associations and trajectory graph edge likelihoods are determined using weak mas…

Fluid Flow and Transfer ProcessesFOS: Computer and information sciencesbubble dynamicsComputer Vision and Pattern Recognition (cs.CV)neutron imagingComputational MechanicsComputer Science - Computer Vision and Pattern RecognitionFluid Dynamics (physics.flu-dyn)General Physics and AstronomyFOS: Physical sciencesPhysics - Fluid DynamicsAlgorithm Ximage processingtwo-phase flowMechanics of Materialsliquid metalX-ray radiography
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