Results 21 to 30 of about 177,814 (266)
Remote Sensing, 2023 The Essential Climate Variable (ECV) Permafrost is currently undergoing strong changes due to rising ground and air temperatures. Surface movement, forming characteristic landforms such as rock glaciers, is one key indicator for mountain permafrost ...
Sebastian Buchelt +6 more
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Quantitative Evaluation of Hypomimia in Parkinson’s Disease: A Face Tracking Approach
Sensors, 2022 Parkinson’s disease (PD) is a neurological disorder that mainly affects the motor system. Among other symptoms, hypomimia is considered one of the clinical hallmarks of the disease.
Elena Pegolo +4 more
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IEEE/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
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Learning Deconvolutional Network for Object Tracking
IEEE Access, 2018 Object tracking can be tackled by learning a model of tracking the target's appearance sequentially. Therefore, robust appearance representation is a critical step in visual tracking. Recently, deep convolution network has demonstrated remarkable ability
Xiankai Lu +3 more
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Deep Probabilistic Feature-Metric Tracking [PDF]
IEEE 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
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Deriving Ocean Surface Drift Using Multiple SAR Sensors
Remote 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
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Remote 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
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Feature Complement for Visual Tracking Based on Global Feature Comparison
IEEE Access, 2023 Target tracking is one of the challenging tasks in computer vision. Usually, the center of target origins from the position with the largest response value, and the key to improving tracking performance is to learn reliable feature maps.
Xiaowei He +3 more
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Motion analysis by feature tracking
Vision Research, 1998 We have developed a two-stage model of motion perception that identifies moving spatial features and computes their velocity, achieving both high spatial localisation and reliable estimates of velocity. Features are detected in each frame by locating the peaks of the spatial local energy functions, as for stationary images (Morrone MC and Burr DC. Proc
Del Viva MM, MORRONE, MARIA CONCETTA
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The role of feature tracking in the furrow illusion
Frontiers 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
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