Results 11 to 20 of about 26,096 (247)

An Adaptive Multi-Features Aware Correlation Filter for Visual Tracking

open access: yesIEEE Access, 2019
In recent years, correlation filter (CF) based tracking methods have attracted more attention due to its low computational complexity and excellent performance. Most CF based tracking methods adopt CNN features of multiple layers to train the tracker for
Xiangyue Zhang   +4 more
doaj   +3 more sources

Object Tracking Based on a Time-Varying Spatio-Temporal Regularized Correlation Filter With Aberrance Repression [PDF]

open access: yesIEEE Photonics Journal, 2022
When used for object tracking, the discriminative correlation filter (DCF) is effective, but its performance is often burdened by undesirable boundary effects.
Junnan Wang   +4 more
doaj   +2 more sources

Hyperspectral Image Classification Based on Fusion of Curvature Filter and Domain Transform Recursive Filter

open access: yesRemote Sensing, 2019
In recent decades, in order to enhance the performance of hyperspectral image classification, the spatial information of hyperspectral image obtained by various methods has become a research hotspot. For this work, it proposes a new classification method
Jianshang Liao, Liguo Wang
doaj   +2 more sources

Correlation Tracking via Self-Adaptive Fusion of Multiple Features

open access: yesInformation, 2018
Correlation filter (CF) based tracking algorithms have shown excellent performance in comparison to most state-of-the-art algorithms on the object tracking benchmark (OTB).
Zhi Chen   +4 more
doaj   +2 more sources

Adaptive Correlation Model for Visual Tracking Using Keypoints Matching and Deep Convolutional Feature

open access: yesSensors, 2018
Although correlation filter (CF)-based visual tracking algorithms have achieved appealing results, there are still some problems to be solved. When the target object goes through long-term occlusions or scale variation, the correlation model used in ...
Yuankun Li   +4 more
doaj   +2 more sources

Robust Visual Tracking With Spatial Regularization Kernelized Correlation Filter Constrained by a Learning Spatial Reliability Map

open access: yesIEEE Access, 2019
As a basic research topic in computer vision, visual tracking is still challenging because of the complexity of the tracking problems, such as abrupt motion, out-of-view, deformation, and heavy occlusion.
Qianbo Liu   +2 more
doaj   +2 more sources

UAV Tracking Based on Correlation Filters With Dynamic Aberrance-Repressed Temporal Regularizations

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
As a significant research direction in remote sensing fields, unmanned aerial vehicles (UAVs) tracking has achieved rapid development in recent years.
Hong Zhang   +6 more
doaj   +2 more sources

Analysis of Filter-Bank-Based Methods for Fast Serial Acquisition of BOC-Modulated Signals

open access: yesEURASIP Journal on Wireless Communications and Networking, 2007
Binary-offset-carrier (BOC) signals, selected for Galileo and modernized GPS systems, pose significant challenges for the code acquisition, due to the ambiguities (deep fades) which are present in the envelope of the correlation function (CF).
Lohan ElenaSimona
doaj   +3 more sources

Robust Measurement-Driven Cardinality Balance Multi-Target Multi-Bernoulli Filter

open access: yesSensors, 2021
The multi-target tracking filter under the Bayesian framework has strict requirements on the prior information of the target, such as detection probability density, clutter density, and target initial position information.
Biao Yang   +4 more
doaj   +2 more sources

Alleviate Similar Object in Visual Tracking via Online Learning Interference-Target Spatial Structure

open access: yesSensors, 2017
Correlation Filter (CF) based trackers have demonstrated superior performance to many complex scenes in smart and autonomous systems, but similar object interference is still a challenge.
Guokai Shi   +4 more
doaj   +2 more sources

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