Results 31 to 40 of about 1,308,420 (193)
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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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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Correlation Particle Filter for Visual Tracking
IEEE Transactions on Image Processing, 2018 In this paper, we propose a novel correlation particle filter (CPF) for robust visual tracking. Instead of a simple combination of a correlation filter and a particle filter, we exploit and complement the strength of each one. Compared with existing tracking methods based on correlation filters and particle filters, the proposed tracker has four major ...
Tianzhu Zhang +4 more
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Visual Tracking With Long-Short Term Based Correlation Filter
IEEE Access, 2020 Visual object tracking is a fundamental problem in computer vision, and has been greatly improved with the rapid development of deep learning. However, existing tracking methods with single model update strategy cannot guarantee the robustness of tracker
Yuxiang Yang +6 more
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