Results 21 to 30 of about 190,256 (265)

Deriving Ocean Surface Drift Using Multiple SAR Sensors

open access: yesRemote Sensing, 2009
Tracking and monitoring ocean features which have short coherent time periods from sequential satellite images requires that the images have both very high spatial resolutions and short temporal sampling intervals (i.e., repeated cycles).
Ming-Kuang Hsu, Antony K. Liu
doaj   +1 more source

Asynchronous event feature generation and tracking based on gradient descriptor for event cameras

open access: yesInternational Journal of Advanced Robotic Systems, 2021
Recently, the event camera has become a popular and promising vision sensor in the research of simultaneous localization and mapping and computer vision owing to its advantages: low latency, high dynamic range, and high temporal resolution.
Ruoxiang Li   +4 more
doaj   +1 more source

Multi-Feature Beat Tracking

open access: yesIEEE/ACM Transactions on Audio, Speech, and Language Processing, 2014
This work was supported in part by the R+I+D Ph.D. scholarship of Universidad Pontificia Bolivariana and Colciencias (Colombia), the projects of the Spanish Ministry of Science and Innovation DRIMS (MICINN-TIN2009-14247-C02-01), SIGMUS (MINECO-TIN2012-36650) and Mires (EC-7PM-MIReS), and in part by the Media Arts and Technologies project (MAT), NORTE ...
José Ricardo Zapata   +2 more
openaire   +2 more sources

A Combination of Feature Tracking and Pattern Matching with Optimal Parametrization for Sea Ice Drift Retrieval from SAR Data

open access: yesRemote Sensing, 2017
Sea ice drift strongly influences sea ice thickness distribution and indirectly controls air-sea ice-ocean interactions. Estimating sea ice drift over a large range of spatial and temporal scales is therefore needed to characterize the properties of sea ...
Anton Andreevich Korosov, Pierre Rampal
doaj   +1 more source

Color and Motion Features Fusion Tracking Based on Game Theory [PDF]

open access: yesJisuanji gongcheng, 2018
Aiming at the problem that single feature is hard to adapt to complex scene changes,a multi-feature fusion algorithm is proposed.Based on the Mean Shift(MS) tracking framework,this paper regards the color feature and motion feature characterized by ...
JIN Zefenfen,HOU Zhiqiang,YU Wangsheng,WANG Xin
doaj   +1 more source

Deep Probabilistic Feature-Metric Tracking [PDF]

open access: yesIEEE Robotics and Automation Letters, 2021
Dense image alignment from RGB-D images remains a critical issue for real-world applications, especially under challenging lighting conditions and in a wide baseline setting. In this paper, we propose a new framework to learn a pixel-wise deep feature map and a deep feature-metric uncertainty map predicted by a Convolutional Neural Network (CNN), which
Binbin Xu 0001   +2 more
openaire   +5 more sources

The role of feature tracking in the furrow illusion

open access: yesFrontiers in Human Neuroscience, 2016
In the furrow illusion (Anstis, 2012), the perceived path of a moving target follows the veridical path orientation when viewed foveally, but follows the orientation of the texture when viewed peripherally.
Rémy eAllard, Jocelyn eFaubert
doaj   +1 more source

Identification of Cardiac MRI and Bio-Marker Thresholds for One-Year Survival in Pre-Capillary Pulmonary Hypertension: Prospective Study

open access: yesMedicina, 2020
Background and objectives: Non-invasive imaging of the heart has an important place in the diagnosis and management of pulmonary arterial hypertension (PAH).
Lina Padervinskiene   +9 more
doaj   +1 more source

The predictive value of cardiac MRI strain parameters in hypertrophic cardiomyopathy patients with preserved left ventricular ejection fraction and a low fibrosis burden: a retrospective cohort study

open access: yesFrontiers in Cardiovascular Medicine, 2023
BackgroundPrompt interventions prevent adverse events (AE) in hypertrophic cardiomyopathy (HCM). We evaluated the pattern and the predictive role of feature tracking (FT)-cardiac magnetic resonance (CMR) imaging parameters in an HCM population with a ...
Alireza Salmanipour   +7 more
doaj   +1 more source

InSARTrac Field Tests—Combining Computer Vision and Terrestrial InSAR for 3D Displacement Monitoring

open access: yesRemote Sensing, 2023
InSARTrac is an innovative method for 3D displacement monitoring that combines terrestrial interferometric synthetic aperture radar (InSAR) and computer vision-based feature tracking.
Christoph Zambanini   +2 more
doaj   +1 more source

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