Results 11 to 20 of about 196,680 (343)
IEEE Access, 2017 Advanced correlation filters are an effective tool for target detection within a particular class. Most correlation filters are derived from a complex filter equation leading to a closed form filter solution.
Sara Tehsin +7 more
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Multiscale spatially regularised correlation filters for visual tracking
IET Computer Vision, 2017 Recently, discriminative correlation filter based trackers have achieved extremely successful results in many competitions and benchmarks. These methods utilise a periodic assumption of the training samples to efficiently learn a classifier.
Xiaodong Gu, Xinyu Huang, Alade Tokuta
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SensorsA computational spectrometer is a novel form of spectrometer powerful for portable in situ applications. In the encoding part of the computational spectrometer, filters with highly non-correlated properties are requisite for compressed sensing, which ...
Haojie Liao +3 more
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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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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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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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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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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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Robust Scale Adaptive Tracking by Combining Correlation Filters with Sequential Monte Carlo. [PDF]
Sensors (Basel), 2017 A robust and efficient object tracking algorithm is required in a variety of computer vision applications. Although various modern trackers have impressive performance, some challenges such as occlusion and target scale variation are still intractable ...
Ma J, Luo H, Hui B, Chang Z.
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