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Feature tracking and aging [PDF]
Frontiers in Psychology, 2013 There are conflicting results regarding the effect of aging on second-order motion processing (i.e., motion defined by attributes other than luminance, such as contrast).
Rémy eAllard +2 more
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Online Feature Selection for Visual Tracking [PDF]
Procedings of the British Machine Vision Conference 2016, 2016 Object tracking is one of the most important tasks in many applications of computer vision. Many tracking methods use a fixed set of features ignoring that appearance of a target object may change drastically due to intrinsic and extrinsic factors.
Melzi, Simone, Roffo, Giorgio
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How can the left atrial strain be correctly determined by cardiovascular magnetic resonance feature tracking? [PDF]
Frontiers in Cardiovascular MedicineIntroductionLeft atrial (LA) strain marks a highly valuable clinical parameter for discrimination of various cardiovascular diseases as consolidated by a plethora of literature.
Rehsan Akkuzu +7 more
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Better Feature Tracking Through Subspace Constraints [PDF]
2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014 Feature tracking in video is a crucial task in computer vision. Usually, the tracking problem is handled one feature at a time, using a single-feature tracker like the Kanade-Lucas-Tomasi algorithm, or one of its derivatives.
Lerman, Gilad +2 more
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Early cardiac involvement in patients with hyperthyroidism evaluated by cardiac magnetic resonance feature tracking [PDF]
Frontiers in EndocrinologyBackgroundThis study aimed to investigate the feasibility of quantitative assessment of myocardial injury in the early stages of the disease by myocardial strain in patients with hyperthyroidism.Methods and resultsA total of 45 individuals in the ...
Yi Zhang +7 more
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Design of a Real-Time Tracking Model Based on Adversarial Learning [PDF]
Jisuanji gongcheng, 2021 Target tracking is the process of finding the position of the moving target in the video frame, and is widely used in the fields of environmental perception, security monitoring and unmanned driving.To improve the efficiency of target tracking, this ...
LI Zhipeng, ZHANG Rui
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Object Tracking Algorithm with Fusion of Multi-feature and Channel Awareness [PDF]
Jisuanji kexue yu tansuo, 2022 In order to solve the problem of drift or overfitting in the tracking process of depth feature description target, an object tracking algorithm combining multiple features and channel perception is proposed.
ZHAO Yunji, FAN Cunliang, ZHANG Xinliang
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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 +2 more
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Feature Distilled Tracking [PDF]
IEEE Transactions on Cybernetics, 2019 Feature extraction and representation is one of the most important components for fast, accurate, and robust visual tracking. Very deep convolutional neural networks (CNNs) provide effective tools for feature extraction with good generalization ability.
Guibo Zhu +4 more
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Feature Analysis in Correlation Filtering Tracker Algorithm [PDF]
Jisuanji gongcheng, 2018 Feature extraction is one of the most important steps in correlation filtering based on tracker algorithm,but existing feature extraction methods do not take into account the effects of feature optimization and feature fusion.As the tracking performance ...
LIU Linfeng,KONG Fanqiang,YAN Xiaole,SHEN Qiu
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