Results 11 to 20 of about 1,308,420 (193)
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.
Zhang, Baochang +6 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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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 +3 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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High-Performance Visual Tracking Based on High-Order Pooling Network
IEEE Access, 2022 Convolution Neural Network (CNN) features have been widely used in visual tracking due to their powerful representation. As an important component of CNN, the pooling layer plays a critical role, but the max/average/min operation only explores the first ...
Xinxi Feng, Lei Pu
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Two-Step Affine Transformation Prediction for Visual Object Tracking
IEEE Access, 2021 The main drawback of correlation filter scheme is that it can only predict translation of the object, ignoring the other affine transformations such as rotation, aspect ratio change, and scale change.
Weiwei Zheng, Huimin Yu, Zhaohui Lu
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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 ...
Galoogahi, Hamed Kiani +2 more
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Calculation of acoustic parameters by a filter-correlation method [PDF]
, 1993 This paper presents the filter correlation method, a technique for extracting consistent and accurate estimates of attenuation parameters from acoustic waveform data.
Courtney, Robert C., Mayer, Larry A.
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Agriculture, 2020 The innovation in science and technical knowledge has prompted an enormous amount of information for the agrarian sector. Machine learning has risen with massive processing techniques to perceive new contingencies in agricultural development.
Dhivya Elavarasan +3 more
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End-to-end representation learning for Correlation Filter based tracking [PDF]
, 2017 The Correlation Filter is an algorithm that trains a linear template to discriminate between images and their translations. It is well suited to object tracking because its formulation in the Fourier domain provides a fast solution, enabling the detector
Bertinetto, Luca +4 more
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