Results 11 to 20 of about 187,114 (259)
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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Auto-Learning Correlation-Filter-Based Target State Estimation for Real-Time UAV Tracking
Remote Sensing, 2022 Most existing tracking methods based on discriminative correlation filters (DCFs) update the tracker every frame with a fixed learning rate. However, constantly adjusting the tracker can hardly handle the fickle target appearance in UAV tracking (e.g ...
Ziyang Bian +5 more
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Latent Constrained Correlation Filter [PDF]
IEEE Transactions on Image Processing, 2018 Correlation filters are special classifiers designed for shift-invariant object recognition, which are robust to pattern distortions. The recent literature shows that combining a set of sub-filters trained based on a single or a small group of images obtains the best performance.
Baochang Zhang 0001 +6 more
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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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Critical Overview of Visual Tracking with Kernel Correlation Filter
Technologies, 2021 With the development of new methodologies for faster training on datasets, there is a need to provide an in-depth explanation of the workings of such methods.
Srishti Yadav, Shahram Payandeh
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A Novel Algorithm Based on a Common Subspace Fusion for Visual Object Tracking
IEEE Access, 2022 Recent methods for visual tracking exploit a multitude of information obtained from combinations of handcrafted and/or deep features. However, the response maps derived from these feature combinations are often fused using simple strategies such as ...
Sajid Javed +6 more
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Learning to Track Aircraft in Infrared Imagery
Remote Sensing, 2020 Airborne target tracking in infrared imagery remains a challenging task. The airborne target usually has a low signal-to-noise ratio and shows different visual patterns.
Sijie Wu, Kai Zhang, Shaoyi Li, Jie Yan
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Equivalence of Correlation Filter and Convolution Filter in Visual Tracking [PDF]
, 2021 (Discriminative) Correlation Filter has been successfully applied to visual tracking and has advanced the field significantly in recent years. Correlation filter-based trackers consider visual tracking as a problem of matching the feature template of the object and candidate regions in the detection sample, in which correlation filter provides the ...
Shuiwang Li +3 more
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Region-filtering correlation tracking [PDF]
Knowledge-Based Systems, 2019 Abstract Correlation filters (CF) have demonstrated a good performance in visual tracking. However, the base training sample region is larger than the object region, including the interference region (IR). IRs in training samples from cyclic shifts of the base training sample severely degrade the quality of the tracking model. In this paper, a region-
Nana Fan +4 more
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Learning an Orientation and Scale Adaptive Tracker With Regularized Correlation Filters
IEEE Access, 2019 Spatial and temporal constraints are very important for correlation filter (CF)-based trackers. However, the existing methods usually fail to regularize the CF learning by the spatio-temporal information because of the ineffective target representation ...
Ke Tan, Zhenzhong Wei
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