Results 11 to 20 of about 26,096 (247)
An Adaptive Multi-Features Aware Correlation Filter for Visual Tracking
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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Object Tracking Based on a Time-Varying Spatio-Temporal Regularized Correlation Filter With Aberrance Repression [PDF]
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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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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Correlation Tracking via Self-Adaptive Fusion of Multiple Features
Correlation filter (CF) based tracking algorithms have shown excellent performance in comparison to most state-of-the-art algorithms on the object tracking benchmark (OTB).
Zhi Chen +4 more
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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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As a basic research topic in computer vision, visual tracking is still challenging because of the complexity of the tracking problems, such as abrupt motion, out-of-view, deformation, and heavy occlusion.
Qianbo Liu +2 more
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UAV Tracking Based on Correlation Filters With Dynamic Aberrance-Repressed Temporal Regularizations
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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Analysis of Filter-Bank-Based Methods for Fast Serial Acquisition of BOC-Modulated Signals
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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Robust Measurement-Driven Cardinality Balance Multi-Target Multi-Bernoulli Filter
The multi-target tracking filter under the Bayesian framework has strict requirements on the prior information of the target, such as detection probability density, clutter density, and target initial position information.
Biao Yang +4 more
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Correlation Filter (CF) based trackers have demonstrated superior performance to many complex scenes in smart and autonomous systems, but similar object interference is still a challenge.
Guokai Shi +4 more
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