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Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3380574
Abstract: As a tool for near-earth remote sensing, unmanned aerial vehicle (UAV) can be used to acquire images and data of the earth's surface. This provides a powerful support for Earth observation and resource management. Object…
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Keywords:
correlation;
adaptive spatial;
regularization correlation;
spatial regularization ... See more keywords
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2
Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3273906
Abstract: With the high computation efficiency and tracking accuracy, discriminative correlation filters (DCFs) have been applied to unmanned aerial vehicle (UAV) tracking. However, in the scenarios (i.e., complex background and temporary occlusion), DCF-based trackers usually generate…
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Keywords:
learning response;
correlation filters;
interference suppression;
uav tracking ... See more keywords
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1
Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3120943
Abstract: Discriminative correlation filter (DCF)-based methods applied for UAV object tracking have received widespread attention due to their high efficiency. However, these methods are usually troubled by the boundary effect. Besides, the violent environment variations severely…
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Keywords:
perceiving temporal;
environment;
correlation filters;
temporal environment ... See more keywords
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Published in 2018 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2017.2714429
Abstract: Tracking methods based on correlation filters have recently attracted attention for achieving fast tracking. However, their performance is somewhat limited in long-term tracking tasks, especially in an occlusion situation. To address this issue, we propose…
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Keywords:
correlation filters;
tracking static;
structured correlation;
correlation ... See more keywords
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Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2025.3540604
Abstract: In recent years, correlation filter based trackers have shown great potentials in visual tracking because of their high computational efficiency and low memory consumption. However, their increasing tracking performance typically comes at the cost of…
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Keywords:
multi task;
correlation filters;
target specific;
correlation ... See more keywords
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Published in 2018 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2017.2716101
Abstract: Deformable parts models show a great potential in tracking by principally addressing nonrigid object deformations and self occlusions, but according to recent benchmarks, they often lag behind the holistic approaches. The reason is that potentially…
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Keywords:
correlation filters;
tracking;
correlation;
deformable parts ... See more keywords
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Published in 2021 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2020.2964757
Abstract: Discriminative correlation filters (DCF)-based trackers have been increasingly applied to visual tracking due to their high precision while running at high frame rates. However, most recent DCF-based methods solely concentrate on learning the correlation filter…
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Keywords:
visual tracking;
spatiotemporal context;
correlation filters;
filters visual ... See more keywords
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1
Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.3029897
Abstract: Correlation filters combined with deep features have delivered impressive results in visual tracking task. However, existing approaches treat deep features produced by different network layers independently, limiting their representation power. To address this issue, this…
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Keywords:
visual tracking;
correlation;
correlation filters;
multi task ... See more keywords
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Published in 2018 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.27.3.033010
Abstract: Abstract. The adaptive multiclass correlation filters (AMCF) method is proposed to exploit different kinds of features and information in a unified framework for recognition. Theoretical investigation into AMCF shows that it obtains a closed-form subsolution…
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Keywords:
series recognition;
correlation filters;
time series;
time ... See more keywords
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Published in 2018 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.27.5.053018
Abstract: Abstract. During the tracking, kernelized correlation filters may fail as the target is occluded seriously and goes out of view. To solve this problem, a long-term visual tracking algorithm based on adaptive correlation filters is…
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Keywords:
correlation filters;
long term;
visual tracking;
target ... See more keywords
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Published in 2021 at "Optical Engineering"
DOI: 10.1117/1.oe.60.2.023107
Abstract: Abstract. Most visual trackers focus on short-term tracking. The target is always in the camera field of view or slight occlusion (OCC). Compared with short-term tracking, long-term tracking is a more challenging task. It requires…
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Keywords:
term tracking;
term;
correlation filters;
long term ... See more keywords