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Various methods to automate traffic data collection have recently been developed by many researchers. A macroscopic data collection through image processing has been proposed. For microscopic traffic flow data, such as individual speed and…

Computer Vision and Pattern Recognition · Computer Science 2016-09-09 Kardi Teknomo , Yasushi Takeyama , Hajime Inamura

The vast number of existing IP cameras in current road networks is an opportunity to take advantage of the captured data and analyze the video and detect any significant events. For this purpose, it is necessary to detect moving vehicles, a…

Computer Vision and Pattern Recognition · Computer Science 2021-05-19 Iván García , Rafael Marcos Luque , Ezequiel López

The field of Continual Learning investigates the ability to learn consecutive tasks without losing performance on those previously learned. Its focus has been mainly on incremental classification tasks. We believe that research in continual…

Computer Vision and Pattern Recognition · Computer Science 2022-06-01 Angelo G. Menezes , Gustavo de Moura , Cézanne Alves , André C. P. L. F. de Carvalho

The life of a cell is governed by highly dynamical microscopic processes. Two notable examples are the diffusion of membrane receptors and the kinetics of transcription factors governing the rates of gene expression. Different fluorescence…

Quantitative Methods · Quantitative Biology 2020-04-03 Maxime Woringer , Ignacio Izeddin , Cyril Favard , Hugues Berry

The miniaturization and integration of electronic circuitry has not only made the enormous increase in performance of semiconductor devices possible but also spawned a myriad of new products and applications ranging from a cellular phone to…

Fluid Dynamics · Physics 2011-03-16 A. Rathgeber , C. Strobl , H. -J. Kutschera , A. Wixforth

State-of-the-art scene flow algorithms pursue the conflicting targets of accuracy, run time, and robustness. With the successful concept of pixel-wise matching and sparse-to-dense interpolation, we push the limits of scene flow estimation.…

Computer Vision and Pattern Recognition · Computer Science 2019-10-30 René Schuster , Oliver Wasenmüller , Christian Unger , Georg Kuschk , Didier Stricker

This is a brief review of liquid scintillators, an important technology for detection of ionizing radiation. We will first review the basic mechanisms of light production in most organic liquid scintillators. For most practical detector…

Instrumentation and Detectors · Physics 2024-08-06 Milind Vaman Diwan

Most camera lens systems are designed in isolation, separately from downstream computer vision methods. Recently, joint optimization approaches that design lenses alongside other components of the image acquisition and processing pipeline…

Computer Vision and Pattern Recognition · Computer Science 2023-03-29 Geoffroi Côté , Fahim Mannan , Simon Thibault , Jean-François Lalonde , Felix Heide

Sensor placement for contaminant detection in water distribution systems (WDS) has become a topic of great interest aiming to secure a population's water supply. Several approaches can be found in the literature with differences ranging…

Systems and Control · Electrical Eng. & Systems 2020-11-13 Margarita Rebolledo , Sowmya Chandrasekaran , Thomas Bartz-Beielstein

Many systems exhibit complex temporal dynamics due to the presence of different processes taking place simultaneously. An important task in such systems is to extract a simplified view of their time-dependent network of interactions.…

Physics and Society · Physics 2022-05-23 Alexandre Bovet , Jean-Charles Delvenne , Renaud Lambiotte

High-Q optical resonators allow label-free detection of individual nanoparticles through perturbation of optical signatures but have practical limitations due to reliance on random diffusion to deliver particles to the sensing region. We…

Optics · Physics 2016-10-03 Jeewon Suh , Kewen Han , Christopher W Peterson , Gaurav Bahl

Fluorescence lifetime imaging microscopy (FLIM) is a powerful technique in biomedical research that uses the fluorophore decay rate to provide additional contrast in fluorescence microscopy. However, at present, the calculation, analysis,…

Image and Video Processing · Electrical Eng. & Systems 2021-06-09 Varun Mannam , Yide Zhang , Xiaotong Yuan , Cara Ravasio , Scott S. Howard

The dynamics of solute flow in the microscopic chamber can be studied with optical tweezers. A method based on the metallic microbeads trapped in the focused optical vortex beam is proposed. This annular beam of a twisted wavefront exerts…

Soft Condensed Matter · Physics 2023-01-11 Weronika Lamperska , Jan Masajada , Sławomir Drobczyński

Microlensing light curves are now being monitored with the precision required to detect small perturbations due to planetary companions of the primary lens. Microlensing is complementary to other planetary search techniques in its potential…

Astrophysics · Physics 2009-10-31 B. Scott Gaudi , Penny D. Sackett

Recent works demonstrated that fiber arrays may constitue the basis of an open digital microfluidics. Various processes, such as droplet motion, fragmentation, trapping, release, mixing and encapsulation, may be achieved on fiber arrays.…

Fluid Dynamics · Physics 2015-03-13 Floriane Weyer , Marjorie Lismont , Laurent Dreesen , Nicolas Vandewalle

We have developed and characterized two novel micro flow sensors based on measuring the electrical impedance of the interface between the flowing liquid and metallic electrodes embedded on the channel walls. These flow sensors are very…

Fluid Dynamics · Physics 2012-07-17 Nima Arjmandi , Chengxun Liu , Willem Van Roy , Liesbet Lagae , Gustaaf Borghs

Low-light optical imaging refers to the use of cameras to capture images with minimal photon flux. This area has broad application to diverse fields, including optical microscopy for biological studies. In such studies, it is important to…

Spatial Fluorescence Cross Correlation Spectroscopy is a rarely investigated version of Fluorescence Correlation Spectroscopy, in which the fluorescence signals from different observation volumes are cross-correlated. In the reported…

Optics · Physics 2008-06-13 Yoann Blancquaert , Jie Gao , Jacques Derouard , Antoine Delon

Event cameras have recently gained significant traction since they open up new avenues for low-latency and low-power solutions to complex computer vision problems. To unlock these solutions, it is necessary to develop algorithms that can…

Computer Vision and Pattern Recognition · Computer Science 2023-09-28 Federico Paredes-Vallés , Kirk Y. W. Scheper , Christophe De Wagter , Guido C. H. E. de Croon

Background modeling has emerged as a popular foreground detection technique for various applications in video surveillance. Background modeling methods have become increasing efficient in robustly modeling the background and hence detecting…

Computer Vision and Pattern Recognition · Computer Science 2016-11-29 Thierry Bouwmans , Caroline Silva , Cristina Marghes , Mohammed Sami Zitouni , Harish Bhaskar , Carl Frelicot