Results 21 to 30 of about 26,060 (217)

Correlation Tracking via Self-Adaptive Fusion of Multiple Features

Information, 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, Peizhong Liu, Yongzhao Du, Yanmin Luo, Wancheng Zhang   +4 more
doaj   +1 more source

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

Sensors, 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, Shengqi Zhu, Xiongpeng He, Kun Yu, Jingjing Zhu   +4 more
doaj   +1 more source

Robust Object Tracking via Large Margin and Scale-Adaptive Correlation Filter

IEEE Access, 2018
Due to the impressive performance and computational efficiency of correlation filter (CF)based object tracking methods, CF trackers have gained lots of popularity in recent years.
Junwei Li, Xiaolong Zhou, Sixian Chan, Shengyong Chen   +3 more
doaj   +1 more source

Single Object Tracking in Satellite Videos: A Correlation Filter-Based Dual-Flow Tracker

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Satellite video (SV) can acquire rich spatiotemporal information on the earth. Single object tracking (SOT) in SVs enables the continuous acquisition of the position and range of a specific object, expanding the field of remote-sensing applications.
Yuzeng Chen, Yuqi Tang, Zhiyong Yin, Te Han, Bin Zou, Huihui Feng   +5 more
doaj   +1 more source

Selective part‐based correlation filter tracking algorithm with reinforcement learning

IET Image Processing, 2022
In visual object tracking methods, improving both the run time and the accuracy in the face of complex situations has always been an important issue.
Zhengzhi Lu, Guoan Yang, Deyang Liu, Junjie Yang, Yong Yang, Chuanbo Zhou   +5 more
doaj   +1 more source

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

Sensors, 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, Tingfa Xu, Jiqiang Luo, Jie Guo, Zishu Zhao   +4 more
doaj   +1 more source

Multiple Perspective Object Tracking via Context-Aware Correlation Filter

IEEE Access, 2018
Correlation filter (CF)-based tracking methods have demonstrated excellent performance owing to their dense sample strategy and computational efficiency. However, the CF tracker suffers from several drawbacks. First, the training samples are generated by
Xiaolong Zhou, Junwei Li, Shengyong Chen, Haibin Cai, Honghai Liu   +4 more
doaj   +1 more source

Evaluation of Dried Plasma Spot‐Based Quantification of Glial Fibrillary Acidic Protein as a Disease‐Associated Biomarker in Neuromyelitis Optica Spectrum Disorder

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the diagnostic accuracy of glial fibrillary acidic protein (GFAP) measured in dried plasma spots versus conventional plasma‐ and serum‐GFAP testing for assessment of disease severity in aquaporin‐4 immunoglobulin G–positive neuromyelitis optica spectrum disorder (AQP4‐IgG+ NMOSD).
Felix Wohlrab, Evelyn Alvarez, Roua Hamdi, Bingqing Zhang, Hayeun Ji, Niyati Jhaveri, Patrick Schindler, Pedro Sanchez, Pia S. Sperber, Tanja Schmitz‐Hübsch, Frederike C. Oertel, Nisa Vorasoot, Najib Kissani, Falko Böhringer, Jens Kuhle, Anne‐Katrin Pröbstel, Xiao‐Jun Ma, Péter Körtvelyessy, Patrick Waters, Friedemann Paul   +19 more
wiley   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

A Fuzzy-Logic-Based Covariance Localization Method in Data Assimilation

Atmosphere, 2020
In ensemble data assimilation systems, the impracticalities of full sampling and systematic error often lead to spurious correlations between two variables with low actual correlations.
Yulong Bai, Xiaoyan Ma, Lin Ding
doaj   +1 more source