Results 21 to 30 of about 477,356 (259)
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
doaj +1 more source
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
openaire +2 more sources
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
openaire +1 more source
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
doaj +1 more source
Robust Visual Tracking Based on Adaptive Extraction and Enhancement of Correlation Filter
IEEE Access, 2019 In recent years, correlation filter (CF)-based tracking methods have demonstrated competitive performance. However, conventional CF-based methods suffer from unwanted boundary effects because of the periodic assumption of the training and detection ...
Wuwei Wang, Ke Zhang, Meibo Lv
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +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
doaj +1 more source