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In this paper, we propose a new algorithm based on radial symmetry center method to track colloidal particles close to contact, where the optical images of the particles start to overlap in digital video microscopy. This overlapping effect…

Instrumentation and Detectors · Physics 2017-10-26 Harun Yücel , Nazmi Turan Okumuşoğlu

The precise tracking of micron sized colloidal particles - held in the vicinity of each other using optical tweezers - is an elegant way to gain information about the particle-particle pair interaction potential. The accuracy of the method,…

Optics · Physics 2017-09-26 Chi Zhang , Georges Brügger , Frank Scheffold

We introduce a new Lagrangian particle tracking algorithm that tracks particles in three dimensions to separations between trajectories approaching contact. The algorithm also detects low Weber number binary collisions that result in…

Fluid Dynamics · Physics 2020-07-15 Reece Vincent Kearney , Gregory Paul Bewley

We use digital holographic microscopy and Mie scattering theory to simultaneously characterize and track individual colloidal particles. Each holographic snapshot provides enough information to measure a colloidal sphere's radius and…

We describe a novel method of tracking the rotational motion of clusters of colloidal particles. Our method utilizes rigid body transfor- mations to determine the rotations of a cluster and extends conventional proven particle tracking…

Soft Condensed Matter · Physics 2011-09-01 Gary L. Hunter , Kazem V. Edmond , Mark T. Elsesser , Eric R. Weeks

In-line digital holography is a valuable tool for sizing, locating and tracking micro- or nano-objects in a volume. When a parametric imaging model is available, Inverse Problems approaches provide a straightforward estimate of the object…

Instrumentation and Detectors · Physics 2023-07-19 Nicolas Verrier , Corinne Fournier , Thierry Fournel

The interest in 3D dynamical tracking is growing in fields such as robotics, biology and fluid dynamics. Recently, a major source of progress in 3D tracking has been the study of collective behaviour in biological systems, where the…

Computer Vision and Pattern Recognition · Computer Science 2015-11-05 Andrea Cavagna , Chiara Creato , Lorenzo Del Castello , Stefania Melillo , Leonardo Parisi , Massimiliano Viale

Feature tracking in video is a crucial task in computer vision. Usually, the tracking problem is handled one feature at a time, using a single-feature tracker like the Kanade-Lucas-Tomasi algorithm, or one of its derivatives. While this…

Computer Vision and Pattern Recognition · Computer Science 2019-04-09 Bryan Poling , Gilad Lerman , Arthur Szlam

Over the last decade, the light microscope has become increasingly useful as a quantitative tool for studying colloidal systems. The ability to obtain particle coordinates in bulk samples from micrographs is particularly appealing. In this…

Soft Condensed Matter · Physics 2007-09-27 Matthew C. Jenkins , Stefan U. Egelhaaf

We present recent advances in the instrumentation and analysis methods for quantitative imaging of concentrated colloidal suspensions under flow. After a brief review of colloidal imaging, we describe various flow geometries for two and and…

Soft Condensed Matter · Physics 2009-09-29 Lucio Isa , Rut Besseling , Eric R. Weeks , Wilson C. K. Poon

In complex plasmas, the behavior of freely floating micrometer sized particles is studied. The particles can be directly visualized and recorded by digital video cameras. To analyze the dynamics of single particles, reliable algorithms are…

Plasma Physics · Physics 2018-02-14 Daniel P. Mohr , Christina A. Knapek , Peter Huber , Erich Zaehringer

This paper presents a method that improve state-of-the-art of the concave point detection methods as a first step to segment overlapping objects on images. It is based on the analysis of the curvature of the objects contour. The method has…

Computer Vision and Pattern Recognition · Computer Science 2022-01-11 Miquel Miró-Nicolau , Biel Moyà-Alcover , Manuel Gonzàlez-Hidalgo , Antoni Jaume-i-Capó

Despite significant advances in particle imaging technologies over the past two decades, few advances have been made in particle tracking, i.e. linking individual particle positions across time series data. The state-of-the-art tracking…

Soft Condensed Matter · Physics 2022-01-25 Ella M. King , Zizhao Wang , David A. Weitz , Frans Spaepen , Michael P. Brenner

Confocal microscopy of colloids combined with digital image processing has become a powerful tool in soft matter physics and materials science. Together, these techniques enable locating and tracking of more than half a million individual…

Soft Condensed Matter · Physics 2016-05-10 Katharine E. Jensen , Nobutomo Nakamura

Traditional point tracking algorithms such as the KLT use local 2D information aggregation for feature detection and tracking, due to which their performance degrades at the object boundaries that separate multiple objects. Recently, CoMaL…

Computer Vision and Pattern Recognition · Computer Science 2017-06-09 Santhosh K. Ramakrishnan , Swarna Kamlam Ravindran , Anurag Mittal

Segmentation of overlapping convex objects has various applications, for example, in nanoparticles and cell imaging. Often the segmentation method has to rely purely on edges between the background and foreground making the analyzed images…

Computer Vision and Pattern Recognition · Computer Science 2019-06-05 Sahar Zafari , Mariia Murashkina , Tuomas Eerola , Jouni Sampo , Heikki Kälviäinen , Heikki Haario

In-line holographic microscopy provides an unparalleled wealth of information about the properties of colloidal dispersions. Analyzing one colloidal particle's hologram with the Lorenz-Mie theory of light scattering yields the particle's…

Soft Condensed Matter · Physics 2020-02-25 Lauren E. Altman , David G. Grier

We propose a novel part-based method for tracking an arbitrary object in challenging video sequences. The colour distribution of tracked image patches on the target object are represented by pairs of RGB samples and counts of how many…

Computer Vision and Pattern Recognition · Computer Science 2019-10-11 George De Ath , Richard M. Everson

To overcome the problem of occlusion in visual tracking, this paper proposes an occlusion-aware tracking algorithm. The proposed algorithm divides the object into discrete image patches according to the pixel distribution of the object by…

Computer Vision and Pattern Recognition · Computer Science 2021-04-19 Rongtai Caiand Peng Zhu

We introduce a novel semi-supervised video segmentation approach based on an efficient video representation, called as "super-trajectory". Each super-trajectory corresponds to a group of compact trajectories that exhibit consistent motion…

Computer Vision and Pattern Recognition · Computer Science 2017-07-25 Wenguan Wang , Jianbing Shen , Jianwen Xie , Fatih Porikli
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