Results 11 to 20 of about 1,321,919 (336)
Spatial Adaptive Regularized Correlation Filter for Robust Visual Tracking [PDF]
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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Weighted Multiple Instance-Based Deep Correlation Filter for Video Tracking Processing [PDF]
IEEE Access, 2019 With the development of internet technology, the video data has been widely used in multimedia devices, such as video surveillance, webcast, and so on.
Xu Cheng +4 more
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A Fast Adaptive Multi-Scale Kernel Correlation Filter Tracker for Rigid Object. [PDF]
Sensors (Basel), 2022 Zheng K, Zhang Z, Qiu C.
europepmc +3 more sources
Learning Spatio-Temporal Attention Based Siamese Network for Tracking UAVs in the Wild
Remote Sensing, 2022 The popularity of unmanned aerial vehicles (UAVs) has made anti-UAV technology increasingly urgent. Object tracking, especially in thermal infrared videos, offers a promising solution to counter UAV intrusion.
Junjie Chen +5 more
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Correlation Tracking via Spatial-Temporal Constraints and Structured Sparse Regularization
IEEE Access, 2021 Discriminative correlation filter (DCF) has achieved promising performance in visual tracking for its high efficiency and high accuracy. However, DCF trackers usually suffer from some challenges, such as boundary effects and appearance changes.
Dan Tian, Shouyu Zang, Binbin Tu
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Shallow Layer Convolutional Features with Correlation Filters for UAV Object Tracking
Journal of Telecommunications and Information Technology, 2022 In this paper, convolutional shallow features are proposed for unmanned aerial vehicle (UAV) tracking. These convolutional shallow features are generated by pre-trained convolutional neural networks (CNN) and are used to represent the target objects ...
Budi Syihabuddin +3 more
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Correlation filters with limited boundaries [PDF]
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 8 pages, 6 figures, 2 ...
Hamed Kiani Galoogahi +2 more
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Research on the Correlation Filter Tracking Model Based on the Deep-Pruned Feature Network
Applied Sciences, 2022 Visual tracking is one of the key research fields in computer vision. Based on the combination of correlation filter tracking (CFT) model and deep convolutional neural networks (DCNNs), deep correlation filter tracking (DCFT) has recently become a ...
Honglin Chen, Chunting Li, Chaomurilige
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Multi-channel Correlation Filters [PDF]
2013 IEEE International Conference on Computer Vision, 2013 Modern descriptors like HOG and SIFT are now commonly used in vision for pattern detection within image and video. From a signal processing perspective, this detection process can be efficiently posed as a correlation/ convolution between a multi-channel image and a multi-channel detector/filter which results in a single channel response map indicating
Hamed Kiani Galoogahi +2 more
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Sensors, 2020 Multi-resolution feature fusion DCF (Discriminative Correlation Filter) methods have significantly advanced the object tracking performance. However, careless choice and fusion of sample features make the algorithm susceptible to interference, leading to
Lin Zhou +6 more
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