Parallel Correlation Filters for Real-Time Visual Tracking [PDF]
Sensors, 2019 Correlation filter-based methods have recently performed remarkably well in terms of accuracy and speed in the visual object tracking research field. However, most existing correlation filter-based methods are not robust to significant appearance changes
Yijin Yang +3 more
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Motion-Aware Correlation Filters for Online Visual Tracking [PDF]
Sensors, 2018 The discriminative correlation filters-based methods struggle deal with the problem of fast motion and heavy occlusion, the problem can severely degrade the performance of trackers, ultimately leading to tracking failures.
Yihong Zhang +4 more
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Real-Time Object Tracking via Adaptive Correlation Filters [PDF]
Sensors, 2020 Although correlation filter-based trackers (CFTs) have made great achievements on both robustness and accuracy, the performance of trackers can still be improved, because most of the existing trackers use either a sole filter template or fixed features ...
Chenjie Du +5 more
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Learning Local–Global Multiple Correlation Filters for Robust Visual Tracking with Kalman Filter Redetection [PDF]
Sensors, 2021 Visual object tracking is a significant technology for camera-based sensor networks applications. Multilayer convolutional features comprehensively used in correlation filter (CF)-based tracking algorithms have achieved excellent performance.
Jianming Zhang +3 more
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Visual Tracking via Deep Feature Fusion and Correlation Filters [PDF]
Sensors, 2020 Visual tracking is a fundamental vision task that tries to figure out instances of several object classes from videos and images. It has attracted much attention for providing the basic semantic information for numerous applications.
Haoran Xia +3 more
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Effective Visual Tracking Using Multi-Block and Scale Space Based on Kernelized Correlation Filters. [PDF]
Sensors (Basel), 2017 Jeong S, Kim G, Lee S.
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Performance of individual audit filters in predicting opportunities for improvement in adult trauma patients [PDF]
Trauma Surgery & Acute Care OpenBackground Trauma audit filters, based on standards of care, serve as quality indicators and screening tools for patient cases to be assessed at interdisciplinary morbidity and mortality conferences.
Martin Gerdin Wärnberg +4 more
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An accelerated correlation filter tracker [PDF]
Pattern Recognition, 2020 Recent visual object tracking methods have witnessed a continuous improvement in the state-of-the-art with the development of efficient discriminative correlation filters (DCF) and robust deep neural network features. Despite the outstanding performance achieved by the above combination, existing advanced trackers suffer from the burden of high ...
Tianyang Xu 0001 +3 more
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Second-Order Spatial-Temporal Correlation Filters for Visual Tracking
Mathematics, 2022 Discriminative correlation filters (DCFs) have been widely used in visual object tracking, but often suffer from two problems: the boundary effect and temporal filtering degradation.
Yufeng Yu +5 more
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End-to-End Correlation Tracking With Enhanced Multi-Level Feature Fusion
IEEE Access, 2021 Discriminative correlation filters (DCF) have drawn increasing interest in visual tracking. In particular, a few recent works treat DCF as a special layer and add it into a Siamese network for visual tracking. However, most of them adopt shallow networks
Guangen Liu, Guizhong Liu
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