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Multi-Task Deep Dual Correlation Filters for Visual Tracking
IEEE Transactions on Image Processing, 2020Correlation 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.
Yuhui Zheng +2 more
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Multi-Correlation Filters With Triangle-Structure Constraints for Object Tracking
IEEE Transactions on Multimedia, 2019Correlation filters (CFs) have been extensively used in tracking tasks due to their high efficiency although most of them regard the tracked target as a whole and are minimally effective in handling partial occlusion. In this study, we incorporate a part-
Weijian Ruan, Jun Chen, Jinqiao Wang
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Fast and object-adaptive spatial regularization for correlation filters based tracking
Neurocomputing, 2019Spatially-regularized correlation filters have achieved great successes in visual object tracking, with excellent tracking accuracy and robustness to various interferences.
Qing Guo, Wei Feng
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Robust RGB-T Tracking via Adaptive Modality Weight Correlation Filters and Cross-modality Learning
ACM Trans. Multim. Comput. Commun. Appl., 2023RGBT tracking is gaining popularity due to its ability to provide effective tracking results in a variety of weather conditions. However, feature specificity and complementarity have not been fully used in existing models that directly fuse the ...
Mingliang Zhou +5 more
semanticscholar +1 more source
Learning Adaptive Sparse Spatially-Regularized Correlation Filters for Visual Tracking
IEEE Signal Processing Letters, 2023The correlation filter(CF)-based tracker is a classic and effective model in the field of visual tracking. For a long time, most CF-based trackers solved filters using only ridge regression equations with $l_{2}$-norm, which can make the trained model ...
Jianming Zhang, Yaoqi He, Shiguo Wang
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Facing Completely Occluded Short-Term Tracking Based on Correlation Filters
IEEE Transactions on Instrumentation and Measurement, 2023Accurate occlusion tracking is a difficult research in vision-based measurement. Most state-of-the-art (SOTA) approaches exploit suppression of templates learning of filters to avoid occlusion pollution.
Yuanming Zhang +3 more
semanticscholar +1 more source
Unconstrained correlation filters
Applied Optics, 1994A mathematical analysis of the distortion tolerance in correlation filters is presented. A good measure for distortion performance is shown to be a generalization of the minimum average correlation energy criterion. To optimize the filter's performance, we remove the usual hard constraints on the outputs in the synthetic discriminant function ...
A, Mahalanobis +4 more
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Correlation Filters Based on Multi-Expert and Game Theory for Visual Object Tracking
IEEE Transactions on Instrumentation and Measurement, 2022Most existing correlation filter-based tracking algorithms only use the linear additive features or simple fusion features, which are unable to fully learn the appearance information of the target.
Sugang Ma +5 more
semanticscholar +1 more source
ReCF: Exploiting Response Reasoning for Correlation Filters in Real-Time UAV Tracking
IEEE transactions on intelligent transportation systems (Print), 2021Object tracking is a fundamental task for the visual perception system on the intelligent unmanned aerial vehicle (UAV). The high efficiency of correlation filter (CF) based trackers has advanced the widespread development of online UAV object tracking ...
Fuling Lin +4 more
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Channel Graph Regularized Correlation Filters for Visual Object Tracking
IEEE transactions on circuits and systems for video technology (Print), 2021Correlation Filters (CF) are a popular choice for visual object tracking due to their efficiency in the frequency domain. Convolutional and hand-crafted features are jointly used when learning a filter, however, these features are not uniformly important
Monika Jain +5 more
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