Results 11 to 20 of about 26,060 (217)
Learning an Orientation and Scale Adaptive Tracker With Regularized Correlation Filters
IEEE Access, 2019 Spatial and temporal constraints are very important for correlation filter (CF)-based trackers. However, the existing methods usually fail to regularize the CF learning by the spatio-temporal information because of the ineffective target representation ...
Ke Tan, Zhenzhong Wei
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IEEE Photonics Journal, 2022 When used for object tracking, the discriminative correlation filter (DCF) is effective, but its performance is often burdened by undesirable boundary effects.
Junnan Wang +4 more
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Vehicle Tracking on Satellite Video Based on Historical Model
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Vehicle tracking on satellite videos poses a challenge for the existing object tracking algorithms due to the few features, object occlusion, and similar objects appearance.
Shili Chen +6 more
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Fast Fourier Transform Networks for Object Tracking Based on Correlation Filter
IEEE Access, 2018 In this paper, we propose fast Fourier transform networks for object tracking, called FFTNet. FFTNet is a correlation filter (CF)-based tracker that integrates two main components of CF, i.e., auto correlation and cross correlation between the features ...
Zhangping He +2 more
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An Adaptive Multi-Features Aware Correlation Filter for Visual Tracking
IEEE Access, 2019 In recent years, correlation filter (CF) based tracking methods have attracted more attention due to its low computational complexity and excellent performance. Most CF based tracking methods adopt CNN features of multiple layers to train the tracker for
Xiangyue Zhang +4 more
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UAV Tracking Based on Correlation Filters With Dynamic Aberrance-Repressed Temporal Regularizations
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 As a significant research direction in remote sensing fields, unmanned aerial vehicles (UAVs) tracking has achieved rapid development in recent years.
Hong Zhang +6 more
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Siam Deep Feature KCF Method and Experimental Study for Pedestrian Tracking
Sensors, 2023 The tracking of a particular pedestrian is an important issue in computer vision to guarantee societal safety. Due to the limited computing performances of unmanned aerial vehicle (UAV) systems, the Correlation Filter (CF) algorithm has been widely used ...
Di Tang +4 more
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Remote Sensing, 2019 In recent decades, in order to enhance the performance of hyperspectral image classification, the spatial information of hyperspectral image obtained by various methods has become a research hotspot. For this work, it proposes a new classification method
Jianshang Liao, Liguo Wang
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Analysis of Filter-Bank-Based Methods for Fast Serial Acquisition of BOC-Modulated Signals
EURASIP Journal on Wireless Communications and Networking, 2007 Binary-offset-carrier (BOC) signals, selected for Galileo and modernized GPS systems, pose significant challenges for the code acquisition, due to the ambiguities (deep fades) which are present in the envelope of the correlation function (CF).
Lohan ElenaSimona
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Sensors, 2018 Although correlation filter (CF)-based visual tracking algorithms have achieved appealing results, there are still some problems to be solved. When the target object goes through long-term occlusions or scale variation, the correlation model used in ...
Yuankun Li +4 more
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