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Enhanced robust spatial feature selection and correlation filter learning for UAV tracking
Neural Networks, 2023Spatial boundary effect can significantly reduce the performance of a learned discriminative correlation filter (DCF) model. A commonly used method to relieve this effect is to extract appearance features from a wider region of a target.
Jiajun Wen, Zhihui Lai, Tianyang Xu
exaly +2 more sources
IEEE journal of biomedical and health informatics, 2023
The proposed study is based on a feature and channel selection strategy that uses correlation filters for brain–computer interface (BCI) applications using electroencephalography (EEG)-functional near-infrared spectroscopy (fNIRS) brain imaging ...
M. U. Ali +7 more
semanticscholar +1 more source
The proposed study is based on a feature and channel selection strategy that uses correlation filters for brain–computer interface (BCI) applications using electroencephalography (EEG)-functional near-infrared spectroscopy (fNIRS) brain imaging ...
M. U. Ali +7 more
semanticscholar +1 more source
Multi-Regularized Correlation Filter for UAV Tracking and Self-Localization
IEEE transactions on industrial electronics (1982. Print), 2021As a sort of model-free tracking approach, discriminative correlation filter (DCF)-based trackers have shown prominent performance in unmanned aerial vehicle (UAV) tracking.
Junjie Ye +5 more
semanticscholar +1 more source
IEEE Transactions on Aerospace and Electronic Systems, 2022
This article addresses the problem of tracking weak and extended targets in the clutter for marine radar systems. In the proposal, multiple kernelized correlation filters (MKCFs) incorporate a low-threshold constant false alarm rate and segmentation ...
Yi Zhou +4 more
semanticscholar +1 more source
This article addresses the problem of tracking weak and extended targets in the clutter for marine radar systems. In the proposal, multiple kernelized correlation filters (MKCFs) incorporate a low-threshold constant false alarm rate and segmentation ...
Yi Zhou +4 more
semanticscholar +1 more source
IEEE Geoscience and Remote Sensing Letters, 2022
Target occlusion is common in satellite videos, which makes object tracking difficult because most state-of-the-art trackers are not robust to occlusion, particularly complete occlusion.
Yangfan Li, Chunjiang Bian
semanticscholar +1 more source
Target occlusion is common in satellite videos, which makes object tracking difficult because most state-of-the-art trackers are not robust to occlusion, particularly complete occlusion.
Yangfan Li, Chunjiang Bian
semanticscholar +1 more source
Improved Kernel Correlation Filter Based Moving Target Tracking for Robot Grasping
IEEE Transactions on Instrumentation and Measurement, 2022Tracking and grasping moving objects are hot topics in the field of robots, which provides great potential in the industrial scene and human–computer cooperation. Based on the kernel correlation filter and vision 3-D reconstruction, this article proposes
Fang Peng +4 more
semanticscholar +1 more source
Learning Scale-Adaptive Tight Correlation Filter for Object Tracking
IEEE Transactions on Cybernetics, 2020 In this paper, we propose a novel tracking method by formulating tracking as a correlation filtering as well as a ridge regression problem. First, we develop a tight correlation filter-based tracking framework from the signal detection perspective.
Shunli Zhang, Weiwei Xing
exaly +2 more sources
Auto-Perceiving Correlation Filter for UAV Tracking
IEEE transactions on circuits and systems for video technology (Print), 2022Discriminative correlation filter (DCF)-based methods have demonstrated superior performance in UAV tracking via fusing multiple types of features and updating models online.
Lei Wang +6 more
semanticscholar +1 more source