Results 71 to 80 of about 341,318 (278)

A Novel Moving Object Detection Algorithm Based on Robust Image Feature Threshold Segmentation with Improved Optical Flow Estimation

Applied Sciences, 2023
The detection of moving objects in images is a crucial research objective; however, several challenges, such as low accuracy, background fixing or moving, ‘ghost’ issues, and warping, exist in its execution.
Jing Ding, Zhen Zhang, Xuexiang Yu, Xingwang Zhao, Zhigang Yan   +4 more
doaj   +1 more source

Integrated 2-D Optical Flow Sensor [PDF]

, 2004
I present a new focal-plane analog VLSI sensor that estimates optical flow in two visual dimensions. The chip significantly improves previous approaches both with respect to the applied model of optical flow estimation as well as the actual hardware ...
Stocker, Dr. Alan
core  

Occlusion Aware Unsupervised Learning of Optical Flow

, 2018
It has been recently shown that a convolutional neural network can learn optical flow estimation with unsupervised learning. However, the performance of the unsupervised methods still has a relatively large gap compared to its supervised counterpart ...
Wang, Peng, Wang, Yang, Xu, Wei, Yang, Yi, Yang, Zhenheng, Zhao, Liang   +5 more
core   +1 more source

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

Self-Supervised Pre-Training for Optical Flow Estimation via Contrastive Learning

IEEE Access
To address the issues of dataset dependency and correlation volume redundancy in optical flow estimation, contrastive learning is introduced to build a self supervised optical flow framework.
Feng An, Wenyin Tao
doaj   +1 more source

Deep HDR Deghosting by Motion-Attention Fusion Network

Sensors, 2022
Multi-exposure image fusion (MEF) methods for high dynamic range (HDR) imaging suffer from ghosting artifacts when dealing with moving objects in dynamic scenes. The state-of-the-art methods use optical flow to align low dynamic range (LDR) images before
Yifan Xiao, Peter Veelaert, Wilfried Philips   +2 more
doaj   +1 more source

End-to-End Learning of Video Super-Resolution with Motion Compensation

, 2017
Learning approaches have shown great success in the task of super-resolving an image given a low resolution input. Video super-resolution aims for exploiting additionally the information from multiple images. Typically, the images are related via optical
A Kappeler, BC Song, C Dong, C Dong, C Liu, H Takeda, J Yang, SD Babacan, WT Freeman   +8 more
core   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

Joint Optical Flow and Temporally Consistent Semantic Segmentation

, 2016
The importance and demands of visual scene understanding have been steadily increasing along with the active development of autonomous systems. Consequently, there has been a large amount of research dedicated to semantic segmentation and dense motion ...
A Kundu, C Vogel, C Vogel, C Zhang, DG Lowe, DJ Butler, F Besse, F Stein, GJ Brostow, K Yamaguchi, M Hornáček, M Menze, MA Mohamed, R Martinez-Cantin, RI Hartley, S Baker, T Scharwächter   +16 more
core   +1 more source

Real‐World Investigation of Satralizumab in Patients With Neuromyelitis Optica Spectrum Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Satralizumab, a monoclonal antibody targeting the interleukin‐6 receptor, has demonstrated efficacy in clinical trials for neuromyelitis optica spectrum disorder (NMOSD). However, its real‐world effectiveness and safety compared to conventional immunosuppressive therapies remain uncertain.
Li‐Tsung Lin, Hui‐An Lin, Sheng‐Feng Lin   +2 more
wiley   +1 more source