Results 31 to 40 of about 477,356 (259)
Fast and Robust Object Tracking Using Tracking Failure Detection in Kernelized Correlation Filter
Applied Sciences, 2020 Object tracking has long been an active research topic in image processing and computer vision fields with various application areas. For practical applications, the object tracking technique should be not only accurate but also fast in a real-time ...
Jungsup Shin +3 more
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Robust Scale Adaptive Visual Tracking with Correlation Filters
Applied Sciences, 2018 Visual tracking is a challenging task in computer vision due to various appearance changes of the target object. In recent years, correlation filter plays an important role in visual tracking and many state-of-the-art correlation filter based trackers ...
Chunbao Li, Bo Yang
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LPCF: Robust Correlation Tracking via Locality Preserving Tracking Validation
Sensors, 2020 In visual tracking, the tracking model must be updated online, which often leads to undesired inclusion of corrupted training samples, and hence inducing tracking failure. We present a locality preserving correlation filter (LPCF) integrating a novel and
Yixuan Zhou +5 more
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Multi-target Tracking Algorithm Based on Motion Information Optimized Correl-ation Filtering
Jisuanji kexue yu tansuo, 2021 In multi-target tracking tasks combined with detector detection information, missing detections often lead to some targets missed, target identity tag conversion, etc., thereby reducing tracking accuracy.
MIAO Jiani, YANG Jinlong, CHENG Xiaoxue, GE Hongwei
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Region-filtering Correlation Tracking
CoRR, 2018 Recently, correlation filters have demonstrated the excellent performance in visual tracking. However, the base training sample region is larger than the object region,including the Interference Region(IR). The IRs in training samples from cyclic shifts of the base training sample severely degrade the quality of a tracking model.
Nana Fan, Zhenyu He 0001
openaire +2 more sources
Deep Deblurring Correlation Filter for Object Tracking
IEEE Access, 2020 Motion blur is a quite tricky issue in object tracking community. In recent years, many trackers have been explored to address this issue without sensational performance.
Yu Bai +3 more
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TensorTrack: Tensor Decomposition for Video Object Tracking
MathematicsVideo Object Tracking (VOT) is a critical task in computer vision. While Siamese-based and Transformer-based trackers are widely used in VOT, they struggle to perform well on the OTB100 benchmark due to the lack of dedicated training sets. This challenge
Yuntao Gu +6 more
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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
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Multi-layer Rotation Memory Model-based correlation filter for visual tracking
Frontiers in Physics, 2022 Object tracking technology is of great significance in laser image processing. However, occlusion or similar interference during visual object tracking may reduce the tracking precision or even cause tracking failure.
Yufei Zhao +8 more
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A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho +7 more
wiley +1 more source