Results 31 to 40 of about 187,114 (259)
Learning Future-Aware Correlation Filters for Efficient UAV Tracking
Remote Sensing, 2021 In recent years, discriminative correlation filter (DCF)-based trackers have made considerable progress and drawn widespread attention in the unmanned aerial vehicle (UAV) tracking community.
Fei Zhang +5 more
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Adaptive Online Learning Based Robust Visual Tracking
IEEE Access, 2018 Accurate location estimation of a target is a classical and very popular problem in visual object tracking, for which correlation filters have been proven highly effective in real-time scenarios.
Weiming Yang +3 more
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Real-Time Visual Tracking through Fusion Features
Sensors, 2016 Due to their high-speed, correlation filters for object tracking have begun to receive increasing attention. Traditional object trackers based on correlation filters typically use a single type of feature.
Yang Ruan, Zhenzhong Wei
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Residual Attention Convolutional Network for Online Visual Tracking
IEEE Access, 2019 Discriminative correlation filters (DCFs) have received much attention in visual tracking due to their high performance but suffered from unwanted boundary effects.
Long Gao, Yunsong Li, Jifeng Ning
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A New Video Tracking Algorithm Based on Multi-Complementary Features Fusion
Xibei Gongye Daxue Xuebao, 2019 In order to make full use of the diversity of sample information in the tracking process and improve the generalization ability of the tracker, this paper integrates the object model prediction results on the basis of the Staple algorithm, and applies ...
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Maximum Margin Correlation Filter Based on Data Spatial Distribution Information
IEEE Access, 2022 In the past decade, object localization and object classification using correlation filters, especially large margin correlation filters which combine with support vector machine (SVM), have become a hotspot. However, the large margin correlation filters
Qi Jiang +3 more
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A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho +7 more
wiley +1 more source
An Analysis of Visual Single Object Tracking Methods
Кібернетика та комп'ютерні технологіїIntroduction. Visual object tracking is an important task in computer vision with a wide range of applications, including autonomous navigation, robotics and surveillance.
Yevhen Romaniak
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Uncertain Motion Tracking Combined Markov Chain Monte Carlo and Correlation Filters
IEEE Access, 2019 To address the uncertain motion tracking problem, a tracking method based on the Markov Chain Monte Carlo and correlation filters is proposed. Firstly, multi-scope marginal likelihood (MSML) strategy is introduced to Wang-Landau Monte Carlo (WLMC ...
Huanlong Zhang +4 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source