SerialTrack: ScalE and Rotation Invariant Augmented Lagrangian Particle Tracking

2022/03/23 by Yang, Jin, Yin, Yue, Landauer, Alexander K. +7 · 2 citations
#Data Analysis #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Quantitative Methods (q-bio.QM) #Robotics (cs.RO) #Statistics and Probability (physics.data-an)

paper · doi:10.48550/arxiv.2203.12573

Abstract

We present a new particle tracking algorithm to accurately resolve large deformation and rotational motion fields, which takes advantage of both local and global particle tracking algorithms. We call this method the ScalE and Rotation Invariant Augmented Lagrangian Particle Tracking (SerialTrack). This method builds an iterative scale and rotation invariant topology-based feature for each particle within a multi-scale tracking algorithm. The global kinematic compatibility condition is applied as a global augmented Lagrangian constraint to enhance the tracking accuracy. An open source software package implementing this numerical approach to track both 2D and 3D, incremental and cumulative deformation fields is provided.

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