Oct 15, 2024 · Here, we present an evaluation of four PT algorithms for a simulated dispersion of particles in porous media across a range of particle speeds and densities. Of special note, we introduce a new...

Jan 19, 2014 · Approaches to particle detection ranged from simple thresholding or local-maxima finding to morphological processing, linear filtering (in particular, Gaussian, Laplacian of Gaussian and...

Apr 3, 2018 · Here, we demonstrate a single particle tracking algorithm to reconstruct large complex motion fields with large particle numbers, orders of magnitude larger than previously tractably...

May 27, 2022 · STracking breaks down a particle tracking pipeline into five components: (i) frame-by-frame particle detection; (ii) particle linking; (iii) analysis of particle properties; (iv) design of track features; and (v) filtering of tracks.

Accurate tracking of particles in images is crucial to experiments as diverse as microrheological studies of complex fluids and super-resolution imaging of sub-cellular structure. I provide here: A graphical user interface (GUI) for particle tracking using any of …

Jul 1, 2023 · This work proposes a particle tracking algorithm directly based on the topological features of Voronoi polyhedron.

PTV is a key approach in experimental fluid dynamics and of fundamental importance in diverse applications, including automotive, aerospace, and biomedical engineering. In this work, we propose an AI-enhanced systematic PTV framework GOTrack+ to track particle trajectories from consecutive images.

Mar 14, 2025 · Herein, we report a particle tracking algorithm that takes into account interactions between particles of finite size and solid objects existing inside computational domain. A particle is modeled as a set of circumferential points on its perimeter.

Apr 22, 2025 · This paper presents a comprehensive evaluation of Particle Swarm Optimization (PSO) variants for trajectory tracking of a cable-driven continuum robot, utilizing descriptive statistical metrics along with parametric and non-parametric methods for performance assessment. The forward kinematic model of the robot was derived using the constant curvature approach, and the trajectory tracking ...

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).