Results 1 to 10 of about 187,114 (259)
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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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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Learning Background-Suppressed Dual-Regression Correlation Filters for Visual Tracking [PDF]
Sensors, 2023 The discriminative correlation filter (DCF)-based tracking method has shown good accuracy and efficiency in visual tracking. However, the periodic assumption of sample space causes unwanted boundary effects, restricting the tracker’s ability to ...
Jianzhong He +5 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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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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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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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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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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Remote Sensing, 2021 Correlation filter (CF) based trackers have gained significant attention in the field of visual single-object tracking, owing to their favorable performance and high efficiency; however, existing trackers still suffer from model drift caused by boundary ...
Yinqiang Su +4 more
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