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Adaptive Discriminative Deep Correlation Filter for Visual Object Tracking
IEEE transactions on circuits and systems for video technology (Print), 2020Correlation filter trackers building on deep convolution neural networks (CNNs) contribute efficient visual object trackers but remain challenged with severe target appearance variations.
Zhenjun Han, Pan Wang, Qixiang Ye
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Geophysics, 1954
Abstract Correlation analysis techniques may be applied to seismic data already subjected to standard recording and analysis procedure in an effort to extract additional information, or to raw data as an alternative filtering method. These techniques involve determination of certain parameters which provide a quantitative measure of ...
Hal J. Jones, John A. Morrison
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Abstract Correlation analysis techniques may be applied to seismic data already subjected to standard recording and analysis procedure in an effort to extract additional information, or to raw data as an alternative filtering method. These techniques involve determination of certain parameters which provide a quantitative measure of ...
Hal J. Jones, John A. Morrison
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BiCF: Learning Bidirectional Incongruity-Aware Correlation Filter for Efficient UAV Object Tracking
IEEE International Conference on Robotics and Automation, 2020Correlation filters (CFs) have shown excellent performance in unmanned aerial vehicle (UAV) tracking scenarios due to their high computational efficiency.
Fuling Lin +4 more
semanticscholar +1 more source
Journal of Visual Communication and Image Representation, 2020
The RGB-T trackers based on correlation filter framework have been extensively investigated for that they can track targets more accurately in most complex scenes.
Mingzheng Feng +4 more
semanticscholar +1 more source
The RGB-T trackers based on correlation filter framework have been extensively investigated for that they can track targets more accurately in most complex scenes.
Mingzheng Feng +4 more
semanticscholar +1 more source
2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI), 2017
The nonlinear dynamic sequence Bayesian estimation model consist of 2 parts, the recursive evaluation followed by the filtered and the estimation based on predictive distributions of unmeasured time-varying signal with noise. A new model based on the combination of particle filter (PF) and correlation named correlation particle filter (CPF) is proposed
Liang Jun, Wu Yan
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The nonlinear dynamic sequence Bayesian estimation model consist of 2 parts, the recursive evaluation followed by the filtered and the estimation based on predictive distributions of unmeasured time-varying signal with noise. A new model based on the combination of particle filter (PF) and correlation named correlation particle filter (CPF) is proposed
Liang Jun, Wu Yan
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Dynamic Saliency-Aware Regularization for Correlation Filter-Based Object Tracking
IEEE Transactions on Image Processing, 2019With a good balance between tracking accuracy and speed, correlation filter (CF) has become one of the best object tracking frameworks, based on which many successful trackers have been developed.
Wei Feng +4 more
semanticscholar +1 more source
Fast Learning of Spatially Regularized and Content Aware Correlation Filter for Visual Tracking
IEEE Transactions on Image Processing, 2020With a good balance between accuracy and speed, correlation filter (CF) has become a popular and dominant visual object tracking scheme. It implicitly extends the training samples by circular shifts of a given target patch, which serve as negative ...
Ruize Han, Wei Feng, Song Wang
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019
Object tracking toward satellite videos faces various challenges, such as small size of the moving object, few texture, background similarities, etc. In this article, we propose a high-speed correlation filter (CF)-based tracker for object tracking on ...
Yujia Guo, Daiqin Yang, Zhenzhong Chen
semanticscholar +1 more source
Object tracking toward satellite videos faces various challenges, such as small size of the moving object, few texture, background similarities, etc. In this article, we propose a high-speed correlation filter (CF)-based tracker for object tracking on ...
Yujia Guo, Daiqin Yang, Zhenzhong Chen
semanticscholar +1 more source
Review of Scientific Instruments, 1983
A nondispersive photometer has been developed featuring a novel harmonic signal analysis for application oriented choice of functional components. These consist of rotating gas filters and interference filters as well as solid-state and optoacoustic detectors. Applications include direct measurement of concentration ratios. Simple models explaining the
W. Olsowski, V. Nestler
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A nondispersive photometer has been developed featuring a novel harmonic signal analysis for application oriented choice of functional components. These consist of rotating gas filters and interference filters as well as solid-state and optoacoustic detectors. Applications include direct measurement of concentration ratios. Simple models explaining the
W. Olsowski, V. Nestler
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Surrounding-aware correlation filter for UAV tracking with selective spatial regularization
Signal Processing, 2020The great advance of visual object tracking has provided unmanned aerial vehicle (UAV) with intriguing capability for various practical applications. With promising performance and efficiency, discriminative correlation filter-based trackers have drawn ...
Changhong Fu +3 more
semanticscholar +1 more source

