Results 71 to 80 of about 4,286,679 (321)
Deep Motion Features for Visual Tracking
, 2016 Robust visual tracking is a challenging computer vision problem, with many real-world applications. Most existing approaches employ hand-crafted appearance features, such as HOG or Color Names.
Danelljan, Martin +3 more
core +1 more source
Convolutional Regression for Visual Tracking [PDF]
IEEE Transactions on Image Processing, 2018 Recently, discriminatively learned correlation filters (DCF) has drawn much attention in visual object tracking community. The success of DCF is potentially attributed to the fact that a large amount of samples are utilized to train the ridge regression model and predict the location of object. To solve the regression problem in an efficient way, these
Kai Chen, Wenbing Tao
openaire +3 more sources
One-Shot Scale and Angle Estimation for Fast Visual Object Tracking
IEEE Access, 2019 Visual object tracking is the process of tracking an arbitrary object in a video, where the bounding box of the object is given in the first frame. Siamese network-based visual object tracking approaches have recently received considerable attention for ...
Dong-Hyun Lee
doaj +1 more source
Frontiers in Psychology, 2022 The perceptual-cognitive ability to track multiple moving objects and its contribution to team sports performance has traditionally been studied in the laboratory under non-sports specific conditions.
Alexandre Vu +4 more
doaj +1 more source
Joint Classification and Regression for Visual Tracking with Fully Convolutional Siamese Networks
International Journal of Computer Vision, 2022 Visual tracking of generic objects is one of the fundamental but challenging problems in computer vision. Here, we propose a novel fully convolutional Siamese network to solve visual tracking by directly predicting the target bounding box in an end-to ...
Ying Cui +6 more
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard +8 more
wiley +1 more source
Weighted Increment Target Tracking Algorithm Based on Low-rank Sparse Representation [PDF]
Jisuanji gongcheng, 2016 The objects under complex environment often are affected by occlusion,illumination changes and so on,which lead to tracking drift.In order to improve the accuracy of visual tracking,a novel robust visual tracking algorithm is introduced by using Low-rank
YING Yanli,ZHANG Jiashu,QU Yao
doaj +1 more source
On the Use of Deep Reinforcement Learning for Visual Tracking: A Survey
IEEE Access, 2021 This paper aims at highlighting cutting-edge research results in the field of visual tracking by deep reinforcement learning. Deep reinforcement learning (DRL) is an emerging area combining recent progress in deep and reinforcement learning.
Giorgio Cruciata +2 more
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül +2 more
wiley +1 more source
Correlation-Filter Based Scale-Adaptive Visual Tracking With Hybrid-Scheme Sample Learning
IEEE Access, 2018 In visual tracking, a mature scale estimation method can greatly improve tracking performance and provide accurate target information for model training.
Wenhui Huang, Jason Gu, Xin Ma, Yibin Li
doaj +1 more source