Results 31 to 40 of about 476,574 (303)
Spatial Adaptive Regularized Correlation Filter for Robust Visual Tracking
IEEE Access, 2020 Correlation filter is a simple yet efficient method to deal with the visual tracking task. However, the unwanted boundary effects hinder further performance improvement.
Lei Pu, Xinxi Feng, Zhiqiang Hou
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IEEE Access, 2023 Increased traffic density, combined with global population development, has resulted in increasingly congested roads, increased air pollution, and increased accidents.
Adnan Ahmed Rafique +9 more
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Robust Visual Object Tracking With Multiple Features and Reliable Re-Detection Scheme
IEEE Access, 2020 In recent years, correlation filter based trackers have seen widespread success because of their high efficiency and robustness. However, a single feature based tracker cannot deal with complex scenes such as serious occlusion, motion blur and ...
Haijun Wang +5 more
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Alpine Skiing Tracking Method Based on Deep Learning and Correlation Filter
IEEE Access, 2022 In outdoor sports such as alpine skiing, athletes hope to obtain information such as movement trajectory and speed to achieve scientific training. The portable sensor has a sense of restraint and affects the athlete’s performance. Cameras have difficulty
Jiashuo Qi +3 more
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Correlation Filter Based Moving Object Tracking With Scale Adaptation and Online Re-Detection
IEEE Access, 2018 Object tracking is a difficult work in complex situations including crowded environment, occlusion, out of view, and fast motion. Recently, many tracking strategies have been designed to handle the object tracking in complex conditions.
Md Mojahidul Islam +4 more
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Discriminative Correlation Filter Tracker with Channel and Spatial Reliability [PDF]
International Journal of Computer Vision, 2016 Short-term tracking is an open and challenging problem for which discriminative correlation filters (DCF) have shown excellent performance. We introduce the channel and spatial reliability concepts to DCF tracking and provide a learning algorithm for its
A. Lukežič +4 more
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Spatio-temporal joint aberrance suppressed correlation filter for visual tracking
Complex & Intelligent Systems, 2021 The discriminative correlation filter (DCF)-based tracking methods have achieved remarkable performance in visual tracking. However, the existing DCF paradigm still suffers from dilemmas such as boundary effect, filter degradation, and aberrance.
Libin Xu +5 more
semanticscholar +1 more source
Robust Visual Tracking via Multilayer CaffeNet Features and Improved Correlation Filtering
IEEE Access, 2019 For problems related to the robust tracking of visual objects in various challenging tracking conditions, a robust visual tracking method based on multilayer convolutional features and correlation filtering is proposed.
Yuqi Xiao, Difu Pan
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Convolutional Features for Correlation Filter Based Visual Tracking
2015 IEEE International Conference on Computer Vision Workshop (ICCVW), 2015 Visual object tracking is a challenging computer vision problem with numerous real-world applications. This paper investigates the impact of convolutional features for the visual tracking problem.
Martin Danelljan +3 more
semanticscholar +1 more source
Region-filtering Correlation Tracking
CoRR, 2018 Recently, correlation filters have demonstrated the excellent performance in visual tracking. However, the base training sample region is larger than the object region,including the Interference Region(IR). The IRs in training samples from cyclic shifts of the base training sample severely degrade the quality of a tracking model.
Nana Fan, Zhenyu He 0001
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