Results 41 to 50 of about 870,154 (291)
InSARTrac Field Tests—Combining Computer Vision and Terrestrial InSAR for 3D Displacement Monitoring
Remote 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
Adaptive Feature Representation for Visual Tracking
, 2017 Robust feature representation plays significant role in visual tracking. However, it remains a challenging issue, since many factors may affect the experimental performance.
Deng, Chenwei +4 more
core +1 more source
Medicina, 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
SOFT feature-tracking software handbook [PDF]
, 2003 This handbook (SOFT_WP31_handbook.pdf) describes the suite of MATLAB programs developed within Work Package 3, task 3.1 of the SOFT Project, for the tracking of large-scale, westward propagating features (planetary waves or westward-travelling eddies) in
Challenor, Peter, Cipollini, Paolo
core
Feature Tracking für raumfüllende Strukturen
, 2021 Published by RWTH Aachen University ...
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Nurses are central to cancer care for children and adolescents, yet no comprehensive synthesis has defined essential core competencies for pediatric oncology nursing (PON) practice internationally, particularly in Latin America and the Caribbean (LAC).
Luís Carlos Lopes‐Júnior +7 more
wiley +1 more source
A New Object Tracking Framework for Interest Point Based Feature Extraction Algorithms
Elektronika ir Elektrotechnika, 2020 This paper presents a novel object tracking framework for interest point based feature extracting algorithms. The proposed framework uses the feature extracting algorithm without making any changes and it relies on outlier detection, object modelling ...
Zafer Guler, Ahmet Cinar, Erdal Ozbay
doaj +1 more source
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking
, 2016 Discriminative Correlation Filters (DCF) have demonstrated excellent performance for visual object tracking. The key to their success is the ability to efficiently exploit available negative data by including all shifted versions of a training sample ...
A Fusiello +13 more
core +1 more source
Feature tracking for visual servoing purposes [PDF]
Robotics and Autonomous Systems, 2005 Elaboration of objects tracking algorithms in image sequences is an important issue for research and application related to visual servoing and more generally for robot vision. A robust extraction and real-time spatio-temporal tracking process of visual cue is indeed one of the keys to success, or to failure, of a visual servoing task.
Marchand, E., Chaumette, François
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim +8 more
wiley +1 more source