Results 41 to 50 of about 196,680 (343)
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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Learning Background-Suppressed Dual-Regression Correlation Filters for Visual Tracking
Sensors, 2023 The discriminative correlation filter (DCF)-based tracking method has shown good accuracy and efficiency in visual tracking. However, the periodic assumption of sample space causes unwanted boundary effects, restricting the tracker’s ability to ...
Jianzhong He +5 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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Correlation Particle Filter for Visual Tracking
IEEE Transactions on Image Processing, 2018 In this paper, we propose a novel correlation particle filter (CPF) for robust visual tracking. Instead of a simple combination of a correlation filter and a particle filter, we exploit and complement the strength of each one. Compared with existing tracking methods based on correlation filters and particle filters, the proposed tracker has four major ...
Tianzhu Zhang 0001 +4 more
openaire +2 more sources
Dietary Protein Intake and Peritoneal Protein Losses in Peritoneal Dialysis Patients
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Peritoneal dialysis (PD) patients lose protein in their waste dialysate, potentially increasing their risk for malnutrition. We wished to determine whether there was any association between losses and dietary protein intake (DPI). Methods DPI was assessed from 24‐h dietary recall using Nutrics software.
Haalah Shaaker, Andrew Davenport
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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