Results 21 to 30 of about 26,096 (247)
Siam Deep Feature KCF Method and Experimental Study for Pedestrian Tracking
Sensors, 2023 The tracking of a particular pedestrian is an important issue in computer vision to guarantee societal safety. Due to the limited computing performances of unmanned aerial vehicle (UAV) systems, the Correlation Filter (CF) algorithm has been widely used ...
Di Tang +4 more
doaj +2 more sources
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 +2 more sources
, 2022 Hyperspectral video camera captures spatial, spectral, and temporal information of moving objects. Traditional object tracking methods developed for color videos have been applied to hyperspectral videos after compressing hundreds of spectral bands into ...
Zhou, Jun +3 more
core +1 more source
Learning an Orientation and Scale Adaptive Tracker With Regularized Correlation Filters
IEEE Access, 2019 Spatial and temporal constraints are very important for correlation filter (CF)-based trackers. However, the existing methods usually fail to regularize the CF learning by the spatio-temporal information because of the ineffective target representation ...
Ke Tan, Zhenzhong Wei
doaj +1 more source
Vehicle Tracking on Satellite Video Based on Historical Model
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Vehicle tracking on satellite videos poses a challenge for the existing object tracking algorithms due to the few features, object occlusion, and similar objects appearance.
Shili Chen +6 more
doaj +1 more source
Fast Fourier Transform Networks for Object Tracking Based on Correlation Filter
IEEE Access, 2018 In this paper, we propose fast Fourier transform networks for object tracking, called FFTNet. FFTNet is a correlation filter (CF)-based tracker that integrates two main components of CF, i.e., auto correlation and cross correlation between the features ...
Zhangping He +2 more
doaj +1 more source
Learning Multifeature Correlation Filter and Saliency Redetection for Long-Term Object Tracking
, 2022 Recently due to the good balance between performance and tracking speed, the discriminative correlation filter (DCF) has become a popular and excellent tracking method in short-term tracking. Computing the correlation of a response map can be efficiently
Tiantian Feng, Yanfang Fu, Liqiang Liu
core +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 +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 +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 +5 more
doaj +1 more source