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Software metrics capture information about software development processes and products. These metrics support decision-making, e.g., in team management or dependency selection. However, existing metrics tools measure only a snapshot of a…

Choosing an appropriate set of stimuli is essential to characterize the response of a sensory system to a particular functional dimension, such as the eye movement following the motion of a visual scene. Here, we describe a framework to…

Neurons and Cognition · Quantitative Biology 2012-09-03 Paula Sanz Leon , Ivo Vanzetta , Guillaume S Masson , Laurent U Perrinet

In this paper we propose a novel approach for detecting and tracking objects in videos with variable background i.e. videos captured by moving cameras without any additional sensor. In a video captured by a moving camera, both the…

Computer Vision and Pattern Recognition · Computer Science 2017-05-09 Kumar S. Ray , Vijayan K. Asari , Soma Chakraborty

Image representation is an important topic in computer vision and pattern recognition. It plays a fundamental role in a range of applications towards understanding visual contents. Moment-based image representation has been reported to be…

Computer Vision and Pattern Recognition · Computer Science 2021-11-25 Shuren Qi , Yushu Zhang , Chao Wang , Jiantao Zhou , Xiaochun Cao

Positron Emission Tomography (PET) enables functional imaging of deep brain structures, but the bulk and weight of current systems preclude their use during many natural human activities, such as locomotion. The proposed long-term solution…

Robotics · Computer Science 2023-12-07 Junxiang Wang , Ti Wu , Iulian I. Iordachita , Peter Kazanzides

Despite the ubiquity of fluid flows interacting with porous and elastic materials, we lack a validated non-empirical macroscale method for characterizing the flow over and through a poroelastic medium. We propose a computational tool to…

Fluid Dynamics · Physics 2017-03-24 Uǧis Lācis , Giuseppe Antonio Zampogna , Shervin Bagheri

We present a novel object tracking scheme that can track rigid objects in real time. The approach uses subpixel-precise image edges to track objects with high accuracy. It can determine the object position, scale, and rotation with…

Computer Vision and Pattern Recognition · Computer Science 2019-04-09 Tobias Böttger , Markus Ulrich , Carsten Steger

For many of the physical phenomena around us, we have developed sophisticated models explaining their behavior. Nevertheless, measuring physical properties from visual observations is challenging due to the high number of causally…

Computer Vision and Pattern Recognition · Computer Science 2020-03-12 Tom F. H. Runia , Kirill Gavrilyuk , Cees G. M. Snoek , Arnold W. M. Smeulders

Interpreting motion captured in image sequences is crucial for a wide range of computer vision applications. Typical estimation approaches include optical flow (OF), which approximates the apparent motion instantaneously in a scene, and…

Computer Vision and Pattern Recognition · Computer Science 2024-08-30 Tanner D. Harms , Steven L. Brunton , Beverley J. McKeon

The study of motion in animals and robots has been aided by insights from geometric mechanics. In friction dominated systems, a mechanical "connection" can provide a high fidelity mechanical model. The connection is a co-vector (Lie…

Biological Physics · Physics 2018-01-26 Brian A. Bittner , Ross L. Hatton , Shai Revzen

This paper describes a 2D and 3D simulation engine that quantitatively models the statics, dynamics, and non-linear deformation of heterogeneous soft bodies in a computationally efficient manner. There is a large body of work simulating…

Graphics · Computer Science 2012-12-13 Jonathan Hiller , Hod Lipson

Objects in videos are typically characterized by continuous smooth motion. We exploit continuous smooth motion in three ways. 1) Improved accuracy by using object motion as an additional source of supervision, which we obtain by…

Computer Vision and Pattern Recognition · Computer Science 2023-08-10 Xin Liu , Fatemeh Karimi Nejadasl , Jan C. van Gemert , Olaf Booij , Silvia L. Pintea

Tactile sensing is crucial for robots aiming to achieve human-level dexterity. Among tactile-dependent skills, tactile-based object tracking serves as the cornerstone for many tasks, including manipulation, in-hand manipulation, and 3D…

Robotics · Computer Science 2025-03-19 Hung-Jui Huang , Michael Kaess , Wenzhen Yuan

Microparticles ranging from sub-microns to millimeter in size are a common form of matter in magnetic fusion environment, and they are highly mobile due to their small mass. Different forces in addition to gravity can affect their motion…

Instrumentation and Detectors · Physics 2018-08-01 Pinghan Chu , Bradley T. Wolfe , Zhehui Wang

We present Measure Anything, a comprehensive vision-based framework for dimensional measurement of objects with circular cross-sections, leveraging the Segment Anything Model (SAM). Our approach estimates key geometric features -- including…

Computer Vision and Pattern Recognition · Computer Science 2024-12-05 Yongkyu Lee , Shivam Kumar Panda , Wei Wang , Mohammad Khalid Jawed

Object tracking is a key challenge of computer vision with various applications that all require different architectures. Most tracking systems have limitations such as constraining all movement to a 2D plane and they often track only one…

Computer Vision and Pattern Recognition · Computer Science 2025-03-07 Lars Bredereke , Yale Hartmann , Tanja Schultz

We present a general framework and method for simultaneous detection and segmentation of an object in a video that moves (or comes into view of the camera) at some unknown time in the video. The method is an online approach based on motion…

Computer Vision and Pattern Recognition · Computer Science 2016-05-25 Dong Lao , Ganesh Sundaramoorthi

The visual observation and tracking of cells and other micrometer-sized objects has many different biomedical applications. The automation of those tasks based on computer methods helps in the evaluation of such measurements. In this work,…

Computer Vision and Pattern Recognition · Computer Science 2014-12-04 Alexandra Heidsieck

As we move through the world, the pattern of light projected on our eyes is complex and dynamic, yet we are still able to distinguish between moving and stationary objects. We propose that humans accomplish this by exploiting constraints…

Neurons and Cognition · Quantitative Biology 2025-05-14 Hope Lutwak , Bas Rokers , Eero P. Simoncelli

Software products nova.astrometry.net, SExtractor and Aladin are shown to be used for searching for transient phenomena in series of photometric images. An algorithm for taking into account atmospheric distortions introduced into images…

Instrumentation and Methods for Astrophysics · Physics 2018-03-26 V. V. Moskvin , A. A. Shlyapnikov