27 papers · ranked by Valyu relevance
Huanyu Liu, Zhihang Han, Jiaqin Yin, Junwei Bao + 3 more
Introduction Tracked agricultural vehicles operating in complex farmland environments are prone to track slip, which degrades path-tracking accuracy and may lead to unstable motion. To address the limitations of conventional geometric tracking algorithms under slip conditions, this study proposes a slip-aware…
Hendrik Edelhoff, Johannes Signer, Niko Balkenhol
Increased availability of high-resolution movement data has led to the development of numerous methods for studying changes in animal movement behavior. Path segmentation methods provide basics for detecting movement changes and the behavioral mechanisms driving them. However, available path segmentation methods differ…
Pratibha Choudhary
Given a graph G, and terminal vertices s and t, the Tracking Paths problem asks to compute a minimum number of vertices to be marked as trackers, such that the sequence of trackers encountered in each s t path is unique. Tracking Paths is NP-hard in both directed and undirected graphs in general. In this paper we give…
Pratibha Choudhary, Venkatesh Raman
Tracking of moving objects is crucial to security systems and networks. Given a graph G, terminal vertices s and t, and an integer k, the Tracking Paths problem asks whether there exists at most k vertices, which if marked as trackers, would ensure that the sequence of trackers encountered in each s t path is unique.…
Yohsuke T. Fukai, Kyogo Kawaguchi
Particle tracking is an important step of analysis in a variety of scientific fields, and is particularly indispensable for the construction of cellular lineages from live images. Although various supervised machine learning methods have been developed for cell tracking, the diversity of the data still necessitates…
Yohsuke T Fukai, Kyogo Kawaguchi, Hanchuan Peng
The implemented particle tracking algorithm follows the method proposed in , with modifications following TrackMate (; ) and additional flexibility, as we describe in the following sections. In the first step, the points in successive frames are connected by solving LAP, and then generating tracks without splits and…
Seung Yeon Shin, Sungwon Lee, Ronald M. Summers
We present a novel graph-theoretic method for small bowel path tracking. It is formulated as finding the minimum cost path between given start and end nodes on a graph that is constructed based on the bowel wall detection. We observed that a trivial solution with many short-cuts is easily made even with the wall…
Robin Köhler, Ismath Sadhir, Seán M. Murray
Fluorescent microscopy is the primary method to study DNA organization within cells. However the variability and low signal-to-noise commonly associated with live-cell time lapse imaging challenges quantitative measurements. In particular, obtaining quantitative or mechanistic insight often depends on the accurate…
Philip Lenz, Andreas Geiger, Raquel Urtasun
One of the most popular approaches to multi-target tracking is tracking-by-detection. Current min-cost flow algorithms which solve the data association problem optimally have three main drawbacks: they are computationally expensive, they assume that the whole video is given as a batch, and they scale badly in memory…
Tristan Walter, Iain D Couzin
Automated visual tracking of animals is rapidly becoming an indispensable tool for the study of behavior. It offers a quantitative methodology by which organisms’ sensing and decision-making can be studied in a wide range of ecological contexts. Despite this, existing solutions tend to be challenging to deploy in…
Vincent Coulombe, David-Alexandre Roussel, Mohamad Sadegh Monfared, Quentin Leboulleux + 4 more
Mice living in complex social groups within ethological environments exhibit a wide range of adaptive behaviors, including individual and group dynamics, often undetected in standard behavioral studies. To better understand the coping and adaptive strategies employed by each member of a social colony, it is necessary…
Christopher J. Soelistyo, Kristina Ulicna, Alan R. Lowe
Quantifying cell biology in space and time requires computational methods to detect cells, measure their properties, and assemble these into meaningful trajectories. In this aspect, machine learning (ML) is having a transformational effect on bioimage analysis, now enabling robust cell detection in multidimensional…
Johannes Huth, Malte Buchholz, Johann M Kraus, Martin Schmucker + 5 more
'Götz von Wichert' 'Denis Krndija' 'Thomas Seufferlein' 'Thomas M Gress' 'Hans A Kestler'] Background Cell motility is a critical parameter in many physiological as well as pathophysiological processes. In time-lapse video microscopy, manual cell tracking remains the most common method of analyzing migratory behavior…
Duc Phu Chau, François Brémond, Monique Thonnat
—Mobile object tracking has an important role in the computer vision applications. In this paper, we use a tracked target-based taxonomy to present the object tracking algorithms. The tracked targets are divided into three categories: points of interest, appearance and silhouette of mobile objects. Advantages and…
Young Hwan Chang, Jeremy Linsley, Josh Lamstein, Jaslin Kalra + 7 more
Live-cell imaging is an important technique to study cell migration and proliferation as well as image-based profiling of drug perturbations over time. To gain biological insights from live-cell imaging data, it is necessary to identify individual cells, follow them over time and extract quantitative information.…
Hiren Mewada, Jawad F. Al-Asad, Amit Patel, Jitendra Chaudhari + 3 more
'Keyur Mahant' 'Alpesh Vala' 'Kc Santosh'] Conventional tracking approaches track objects using a rectangle bounding box. Gait, gesture and many medical analyses require non-rigid shape extraction. A non-rigid object tracking is more difficult because it needs more accurate object shape and background separation in…
Oliver J. Meacock, William M. Durham, Stefan Klumpp
Most bacteria live attached to surfaces in densely-packed communities. While new experimental and imaging techniques are beginning to provide a window on the complex processes that play out in these communities, resolving the behaviour of individual cells through time and space remains a major challenge. Although a…
Katharina Löffler, Tim Scherr, Ralf Mikut
Automatic cell segmentation and tracking enables to gain quantitative insights into the processes driving cell migration. To investigate new data with minimal manual effort, cell tracking algorithms should be easy to apply and reduce manual curation time by providing automatic correction of segmentation errors. Current…
Mojtaba S. Fazli, Shannon Quinn
Gap to Biomedical Advancements Authors: ['Mojtaba S. Fazli' 'Shannon Quinn'] The authors would like to thank Prof. Silvia N.J. Moreno and Prof. Gary E. Ward for their collaboration on Toxoplasma projects. We also acknowledge Prof. Chakra Chennubhotla and Prof. Frederick D Quinn for their collaboration on OrNet project.…
S. Wagner, K. Thierbach, T. Zerjatke, I. Glauche + 2 more
TraCurate is an open-source software tool to curate and manually annotate cell tracking data from time-lapse microscopy. Although many studies of cellular behavior require high-quality, long-term observations across generations of cells, automated cell tracking is often imperfect and typically yields fragmented results…
Changhong Fu, Ran Duan, Dogan Kircali, Erdal Kayacan + 1 more
'Felipe Gonzalez Toro'] In this paper, we present a novel onboard robust visual algorithm for long-term arbitrary 2D and 3D object tracking using a reliable global-local object model for unmanned aerial vehicle (UAV) applications, e.g., autonomous tracking and chasing a moving target. The first main approach in this…
Authors not listed
Automated reaction path search based on quantum chemical calculations enables the construction of reaction path networks with minimal prior knowledge. When combined with kinetic simulation on the obtained network, essential mechanistic insights can be extracted to better understand and eventually design novel chemical…
Shin-ichi Koda, Shinji Saito
Rapid generation of a plausible reaction path connecting a given reactant and product in advance is crucial for the efficient computation of precise reaction paths or transition states. We propose a computationally efficient potential energy based on molecular structure to generate such paths. This potential energy has…
Tingwei Liu, Yasutomo Kawanishi, Takahiro Komamizu, Ichiro Ide
Detection History-aware Association Authors: ['Tingwei Liu' 'Yasutomo Kawanishi' 'Takahiro Komamizu' 'Ichiro Ide'] This paper focuses on tracking birds that appear small in a panoramic video. When the size of the tracked object is small in the image (small object tracking) and move quickly, object detection and…
Michael Hutcheon, Andrew Teale
Algorithms are presented for performing a topological analysis of an arbitrary function, evaluated on an arbitrary grid of points. These algorithms work strictly by post-processing the data and require no additional function evaluations. This is achieved by connecting the grid points with a neighbourhood graph…
Balázs Fábián, Matti Javanainen
Curved membranes are abundant and functionally relevant in living matter, yet they have eluded computational studies due to methodological limitations. With multiple approaches available for setting up simulations on such curved membranes, there is a growing need for efficient and versatile tools to analyze their…
Authors not listed
The ability to track therapeutic cells is critical for advancing adoptive cell therapy (ACT). Positron emission tomography (PET) offers sensitive and quantitative imaging, yet improved cell radiolabeling strategies are sorely needed. We report a metabolic glycoengineering (MGE) approach that installs azide moieties on…