Results 41 to 50 of about 476,574 (303)
Robust Scale Adaptive Visual Tracking with Correlation Filters
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
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
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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Overview and methods of correlation filter algorithms in object tracking
An important area of computer vision is real-time object tracking, which is now widely used in intelligent transportation and smart industry technologies.
Shuai Liu +4 more
semanticscholar +1 more source
Deep Deblurring Correlation Filter for Object Tracking
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
Video 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
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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Visual tracking has become widespread in swarm robots for intelligent video surveillance, navigation, and autonomous vehicles due to the development of machine learning algorithms.
Sachin Sakthi Kuppusami Sakthivel +4 more
semanticscholar +1 more source
Multi-layer Rotation Memory Model-based correlation filter for visual tracking
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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ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source

